Prometheus Relabelconfigs Example Jobs in Usa
41 positions found — Page 4
Kafka Admin/ Kafka Engineer
Salary not disclosed
Role-Kafka Admin / Kafka Engineer Location-New York, NY-Onsite Type-Contract / full time JD: Key Responsibilities: Deploy, configure and maintain Confluent Kafka clusters in a highly available environment.
Perform Kafka upgrades and patching ensuring minimal downtime and seamless transitions.
Administer security protocols and access controls to protect the platform.
Monitor cluster health and performance using our established monitoring stack(Prometheus, Grafana) Troubleshoot and resolve cluster-related incidents such as broker outages, replication lag.
Develop and enhance automation scripts to streamline operational tasks and reduce manual intervention.
Assist with planning and managing cluster resources to support future growth.
Qualifications: Bachelor's degree in Computer science, Information technology or equivalent professional experience.
5+ years of Kafka administration experience, ideally with confluent platform.
Demonstrated expertise in Kafka upgrades and production troubleshooting.
Strong background in Linux system administration.
Proficiency in Python and/or Bash scripting for automation.
Good understanding of Prometheus and Grafana for monitoring and observability.
Certification on Confluent Kafka is a plus.
Thanks & Regards Viplav Mandal Account Manager 7329130747 Tanisha Systems Inc.
99 Wood Ave South, Suite # 308, Iselin, NJ 08830
Perform Kafka upgrades and patching ensuring minimal downtime and seamless transitions.
Administer security protocols and access controls to protect the platform.
Monitor cluster health and performance using our established monitoring stack(Prometheus, Grafana) Troubleshoot and resolve cluster-related incidents such as broker outages, replication lag.
Develop and enhance automation scripts to streamline operational tasks and reduce manual intervention.
Assist with planning and managing cluster resources to support future growth.
Qualifications: Bachelor's degree in Computer science, Information technology or equivalent professional experience.
5+ years of Kafka administration experience, ideally with confluent platform.
Demonstrated expertise in Kafka upgrades and production troubleshooting.
Strong background in Linux system administration.
Proficiency in Python and/or Bash scripting for automation.
Good understanding of Prometheus and Grafana for monitoring and observability.
Certification on Confluent Kafka is a plus.
Thanks & Regards Viplav Mandal Account Manager 7329130747 Tanisha Systems Inc.
99 Wood Ave South, Suite # 308, Iselin, NJ 08830
Not Specified
J
Director of IT Architecture
🏢 Jobot
Salary not disclosed
Hot Job
- Director of IT Architecture
- Healthcare Industry
- $170k-$190k This Jobot Job is hosted by: Kyle Beard Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $170,000
- $190,000 per year A bit about us: Our client is a nationally recognized academic healthcare organization dedicated to improving health outcomes through patient-centered, equitable care.
They serve as a vital safety-net provider while advancing medical education, research, and innovation in partnership with an academic institution.
With a strong focus on community impact, collaboration, and continuous improvement, our client is committed to making healthcare more accessible and effective for all.
Why join us? Our client offers a mission-driven environment where employees make a meaningful impact by delivering exceptional, equitable care to diverse communities while advancing health equity.
Team members benefit from a collaborative, academic medical setting that values innovation, professional growth, and a strong commitment to patients and people.
Job Details Reporting to the Sr.
Director of IT Technology, we’re seeking a Director of IT Architecture to lead enterprise architecture strategy for a growing healthcare organization.
This leader will own network, cloud, and systems architecture, managing a high-performing team while aligning technology with business, clinical, and regulatory needs.
Key Responsibilities Strategic Leadership & Technology Roadmap Define and execute the enterprise IT architecture roadmap aligned with business and clinical goals Lead network, cloud, and systems architecture teams; establish governance, standards, and best practices Drive secure, scalable infrastructure across on-prem, hybrid, and multi-cloud environments (AWS) Oversee architecture for core healthcare systems, including EHR/EMR (Epic) Partner with security, infrastructure, and application teams to ensure compliance (HIPAA, HITRUST) Evaluate emerging technologies (microservices, AI/ML) and ensure strong ROI on initiatives Manage risk, performance, cost optimization, and system scalability Demonstrated history of assessing, testing, implementing modern platform visibility solutions (DataDog, Dynatrace, New Relic, Prometheus / Grafana).
Required Background Bachelor’s degree in IT, Computer Science, or related field 10+ years in IT architecture, including 5+ years in a leadership role Strong experience in: Network architecture (SD-WAN, firewalls, VPNs, security protocols) Cloud architecture (AWS, hybrid solutions, Well-Architected Framework) Systems architecture and enterprise platforms (M365, infrastructure, DR) Healthcare IT standards (HL7, FHIR, DICOM) Observability tools (Datadog, Dynatrace, New Relic, Grafana/Prometheus) Preferred Master’s degree Certifications: AWS (Solutions Architect Pro, Security), Azure Architect, CISSP, CCNP, HITRUST, or FinOps This is a highly visible, strategic role with direct impact on technology modernization, security, and patient care outcomes.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
- Director of IT Architecture
- Healthcare Industry
- $170k-$190k This Jobot Job is hosted by: Kyle Beard Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $170,000
- $190,000 per year A bit about us: Our client is a nationally recognized academic healthcare organization dedicated to improving health outcomes through patient-centered, equitable care.
They serve as a vital safety-net provider while advancing medical education, research, and innovation in partnership with an academic institution.
With a strong focus on community impact, collaboration, and continuous improvement, our client is committed to making healthcare more accessible and effective for all.
Why join us? Our client offers a mission-driven environment where employees make a meaningful impact by delivering exceptional, equitable care to diverse communities while advancing health equity.
Team members benefit from a collaborative, academic medical setting that values innovation, professional growth, and a strong commitment to patients and people.
Job Details Reporting to the Sr.
Director of IT Technology, we’re seeking a Director of IT Architecture to lead enterprise architecture strategy for a growing healthcare organization.
This leader will own network, cloud, and systems architecture, managing a high-performing team while aligning technology with business, clinical, and regulatory needs.
Key Responsibilities Strategic Leadership & Technology Roadmap Define and execute the enterprise IT architecture roadmap aligned with business and clinical goals Lead network, cloud, and systems architecture teams; establish governance, standards, and best practices Drive secure, scalable infrastructure across on-prem, hybrid, and multi-cloud environments (AWS) Oversee architecture for core healthcare systems, including EHR/EMR (Epic) Partner with security, infrastructure, and application teams to ensure compliance (HIPAA, HITRUST) Evaluate emerging technologies (microservices, AI/ML) and ensure strong ROI on initiatives Manage risk, performance, cost optimization, and system scalability Demonstrated history of assessing, testing, implementing modern platform visibility solutions (DataDog, Dynatrace, New Relic, Prometheus / Grafana).
Required Background Bachelor’s degree in IT, Computer Science, or related field 10+ years in IT architecture, including 5+ years in a leadership role Strong experience in: Network architecture (SD-WAN, firewalls, VPNs, security protocols) Cloud architecture (AWS, hybrid solutions, Well-Architected Framework) Systems architecture and enterprise platforms (M365, infrastructure, DR) Healthcare IT standards (HL7, FHIR, DICOM) Observability tools (Datadog, Dynatrace, New Relic, Grafana/Prometheus) Preferred Master’s degree Certifications: AWS (Solutions Architect Pro, Security), Azure Architect, CISSP, CCNP, HITRUST, or FinOps This is a highly visible, strategic role with direct impact on technology modernization, security, and patient care outcomes.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Senior Sales Software Engineer (Data Integration / Customer Facing)
🏢 Jobot
Salary not disclosed
This Jobot Job is hosted by: Merwan Zattam Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $120,000
- $155,000 per year A bit about us: We are a forward-thinking enterprise software firm dedicated to solving complex business problems through elegant, practical solutions.
Built by professionals with firsthand industry experience, our team understands the challenges organizations face when systems fall short of ambition.
We partner closely with clients to architect, develop and deploy software that integrates seamlessly into existing environments—prioritizing clarity, speed and long-term value over unnecessary complexity.
Our focus on transparency and collaboration ensures we stand behind what we build and grow alongside our customers.
Why join us? We offer the full spectrum of comprehensive benefits including: health, dental, and vision insurance.
We also offer paid time off, short term disability, long term disability, life insurance and a 401k plan.
Job Details Overview We are seeking a Senior Software Engineer who is passionate about building creative, scalable, and reliable software solutions to solve complex business challenges.
You’ll join a collaborative and growing software team focused on, a platform that enables fast, secure, and dependable data replication for organizations worldwide.
He has empowered global enterprises to integrate data from diverse systems, delivering meaningful insights and operational efficiency across industries.
Key Responsibilities Collaborate as part of an agile engineering team to design, develop, and enhance core software products.
Translate software requirements into high-quality technical implementations.
Participate in 24x7 on-call support rotation (approximately once per month).
Troubleshoot and perform root cause analysis on customer-reported issues.
Document defects and coordinate timely resolutions.
Partner with cross-functional teams to ensure accuracy, reliability, and quality of deliverables.
Present technical topics and demonstrate functionality to internal and external stakeholders.
Evaluate emerging technologies and contribute to architectural decision-making.
Lead small teams in achieving development goals and mentor junior engineers.
Engage with and support the open-source community related to the platform.
Required Skills & Qualifications Bachelor’s degree in Computer Science, Mathematics, or a related field.
5+ years of software development experience, with full lifecycle exposure.
Proficiency in Java and Spring Framework.
Strong understanding of data storage principles and SQL database operations.
Experience with unit testing, CI/CD, Agile, and DevOps methodologies.
Commitment to writing clean, maintainable, and reusable code.
Excellent analytical, problem-solving, and communication skills.
Ability to work independently and collaboratively within a team.
Experience engaging directly with customers or end-users.
Preferred Skills & Experience Troubleshooting distributed enterprise applications.
Automating build processes using Gradle/Maven and GitHub Actions.
Building RESTful APIs.
Familiarity with cloud infrastructure technologies such as Kubernetes, Helm, and Terraform.
Experience deploying software to AWS, Azure, or Google Cloud Platform.
Monitoring using Prometheus and Grafana.
UI/UX development experience with the Vaadin framework.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $120,000
- $155,000 per year A bit about us: We are a forward-thinking enterprise software firm dedicated to solving complex business problems through elegant, practical solutions.
Built by professionals with firsthand industry experience, our team understands the challenges organizations face when systems fall short of ambition.
We partner closely with clients to architect, develop and deploy software that integrates seamlessly into existing environments—prioritizing clarity, speed and long-term value over unnecessary complexity.
Our focus on transparency and collaboration ensures we stand behind what we build and grow alongside our customers.
Why join us? We offer the full spectrum of comprehensive benefits including: health, dental, and vision insurance.
We also offer paid time off, short term disability, long term disability, life insurance and a 401k plan.
Job Details Overview We are seeking a Senior Software Engineer who is passionate about building creative, scalable, and reliable software solutions to solve complex business challenges.
You’ll join a collaborative and growing software team focused on, a platform that enables fast, secure, and dependable data replication for organizations worldwide.
He has empowered global enterprises to integrate data from diverse systems, delivering meaningful insights and operational efficiency across industries.
Key Responsibilities Collaborate as part of an agile engineering team to design, develop, and enhance core software products.
Translate software requirements into high-quality technical implementations.
Participate in 24x7 on-call support rotation (approximately once per month).
Troubleshoot and perform root cause analysis on customer-reported issues.
Document defects and coordinate timely resolutions.
Partner with cross-functional teams to ensure accuracy, reliability, and quality of deliverables.
Present technical topics and demonstrate functionality to internal and external stakeholders.
Evaluate emerging technologies and contribute to architectural decision-making.
Lead small teams in achieving development goals and mentor junior engineers.
Engage with and support the open-source community related to the platform.
Required Skills & Qualifications Bachelor’s degree in Computer Science, Mathematics, or a related field.
5+ years of software development experience, with full lifecycle exposure.
Proficiency in Java and Spring Framework.
Strong understanding of data storage principles and SQL database operations.
Experience with unit testing, CI/CD, Agile, and DevOps methodologies.
Commitment to writing clean, maintainable, and reusable code.
Excellent analytical, problem-solving, and communication skills.
Ability to work independently and collaboratively within a team.
Experience engaging directly with customers or end-users.
Preferred Skills & Experience Troubleshooting distributed enterprise applications.
Automating build processes using Gradle/Maven and GitHub Actions.
Building RESTful APIs.
Familiarity with cloud infrastructure technologies such as Kubernetes, Helm, and Terraform.
Experience deploying software to AWS, Azure, or Google Cloud Platform.
Monitoring using Prometheus and Grafana.
UI/UX development experience with the Vaadin framework.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Data Engineer
🏢 Jobot
Salary not disclosed
This Jobot Job is hosted by: Amanda Preston Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $155,000
- $175,000 per year A bit about us: We are a global organization operating at the intersection of technology, data, and digital platforms, supporting products and services used by millions worldwide.
Our teams build and operate highly scalable, cloud-native systems that power data-driven decision-making, advanced analytics, and machine learning across a diverse and complex ecosystem.
With a strong emphasis on modern engineering practices, automation, and innovation, we invest heavily in the people and platforms that enable long-term growth and technical excellence.
Why join us? Work at scale: Build and operate production systems that support large, globally distributed platforms and high-impact use cases.
Technical ownership: Play a key role in shaping MLOps, DevOps, and cloud architecture standards across the organization.
Modern stack: Work with Kubernetes, GCP, Terraform, CI/CD, and production machine learning systems.
Real-world impact: Deploy and operationalize machine learning models that directly support business-critical workflows.
Collaborative culture: Partner closely with experienced engineers, data scientists, and product leaders who value strong technical judgment.
Growth and stability: Join a mature, well-funded environment that offers long-term career growth and technical depth without startup volatility.
Job Details Role Summary Join an elite engineering team at a large, globally distributed organization building next-generation, data-driven platforms at scale.
We are seeking a highly motivated and skilled Senior MLOps/DevOps Engineer to lead the architecture, deployment, and operation of modern machine learning and cloud-native systems.
This role is critical in bridging Data Science and Platform Operations, ensuring machine learning models and core services are deployed reliably, scalably, and securely in production cloud environments.
The position requires deep expertise in automation, cloud infrastructure, and the full machine learning lifecycle.
Key Responsibilities MLOps Pipeline Ownership: Design, implement, and manage end-to-end MLOps pipelines for continuous training, deployment, monitoring, and versioning of production ML models (e.g., recommendation systems, content intelligence, or analytics platforms).
Data Pipeline Design & Orchestration: Design, build, and maintain robust data ingestion and transformation pipelines using modern orchestration tools such as Dagster or Airflow.
Kubernetes & Cloud Architecture: Architect, deploy, and maintain highly scalable, fault-tolerant infrastructure using Kubernetes (GKE) within Google Cloud Platform (GCP).
DevOps & Automation: Champion DevOps best practices, including Infrastructure as Code (IaC) using Terraform or similar tools, and establish reliable CI/CD workflows.
CI/CD Implementation: Configure and manage automated deployment and testing pipelines using GitHub Actions and related tooling to ensure fast, reliable releases.
Core Development: Write clean, efficient, and well-tested Python code for automation, infrastructure tooling, and service integration.
API & Service Deployment: Design, develop, and deploy high-performance Python APIs (FastAPI, Flask, or similar) to serve ML predictions and application services in production.
Monitoring & Observability: Implement comprehensive monitoring, logging, and alerting solutions (e.g., Prometheus, Grafana, cloud-native logging tools) to maintain system reliability.
Security & Compliance: Implement security best practices, access controls, and compliance requirements appropriate for large-scale, enterprise environments.
Collaboration & Mentorship: Partner closely with data scientists, software engineers, and product teams while providing technical guidance and mentorship to junior engineers.
Required Qualifications 5+ years of experience in DevOps, Cloud Engineering, or related roles, including 2+ years focused on MLOps in production environments Advanced proficiency in Python for development, automation, and scripting Proven experience building and deploying production-grade APIs and backend services (FastAPI, Flask, Django) Strong SQL skills and experience designing and optimizing data models for relational and NoSQL systems (e.g., BigQuery, Cloud SQL) Hands-on experience with workflow orchestration tools (Dagster, Airflow) Expert knowledge of Docker and Kubernetes, including Helm and Kubernetes-native IaC tools (e.g., Crossplane); GKE experience strongly preferred Extensive experience within the Google Cloud Platform (GCP) ecosystem (Compute Engine, Cloud Storage, BigQuery, Pub/Sub, Vertex AI) Strong GitHub-based development workflows (branching, pull requests, code reviews) Solid understanding of network architecture, security principles, and large-scale data processing Excellent communication, collaboration, and problem-solving skills Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $155,000
- $175,000 per year A bit about us: We are a global organization operating at the intersection of technology, data, and digital platforms, supporting products and services used by millions worldwide.
Our teams build and operate highly scalable, cloud-native systems that power data-driven decision-making, advanced analytics, and machine learning across a diverse and complex ecosystem.
With a strong emphasis on modern engineering practices, automation, and innovation, we invest heavily in the people and platforms that enable long-term growth and technical excellence.
Why join us? Work at scale: Build and operate production systems that support large, globally distributed platforms and high-impact use cases.
Technical ownership: Play a key role in shaping MLOps, DevOps, and cloud architecture standards across the organization.
Modern stack: Work with Kubernetes, GCP, Terraform, CI/CD, and production machine learning systems.
Real-world impact: Deploy and operationalize machine learning models that directly support business-critical workflows.
Collaborative culture: Partner closely with experienced engineers, data scientists, and product leaders who value strong technical judgment.
Growth and stability: Join a mature, well-funded environment that offers long-term career growth and technical depth without startup volatility.
Job Details Role Summary Join an elite engineering team at a large, globally distributed organization building next-generation, data-driven platforms at scale.
We are seeking a highly motivated and skilled Senior MLOps/DevOps Engineer to lead the architecture, deployment, and operation of modern machine learning and cloud-native systems.
This role is critical in bridging Data Science and Platform Operations, ensuring machine learning models and core services are deployed reliably, scalably, and securely in production cloud environments.
The position requires deep expertise in automation, cloud infrastructure, and the full machine learning lifecycle.
Key Responsibilities MLOps Pipeline Ownership: Design, implement, and manage end-to-end MLOps pipelines for continuous training, deployment, monitoring, and versioning of production ML models (e.g., recommendation systems, content intelligence, or analytics platforms).
Data Pipeline Design & Orchestration: Design, build, and maintain robust data ingestion and transformation pipelines using modern orchestration tools such as Dagster or Airflow.
Kubernetes & Cloud Architecture: Architect, deploy, and maintain highly scalable, fault-tolerant infrastructure using Kubernetes (GKE) within Google Cloud Platform (GCP).
DevOps & Automation: Champion DevOps best practices, including Infrastructure as Code (IaC) using Terraform or similar tools, and establish reliable CI/CD workflows.
CI/CD Implementation: Configure and manage automated deployment and testing pipelines using GitHub Actions and related tooling to ensure fast, reliable releases.
Core Development: Write clean, efficient, and well-tested Python code for automation, infrastructure tooling, and service integration.
API & Service Deployment: Design, develop, and deploy high-performance Python APIs (FastAPI, Flask, or similar) to serve ML predictions and application services in production.
Monitoring & Observability: Implement comprehensive monitoring, logging, and alerting solutions (e.g., Prometheus, Grafana, cloud-native logging tools) to maintain system reliability.
Security & Compliance: Implement security best practices, access controls, and compliance requirements appropriate for large-scale, enterprise environments.
Collaboration & Mentorship: Partner closely with data scientists, software engineers, and product teams while providing technical guidance and mentorship to junior engineers.
Required Qualifications 5+ years of experience in DevOps, Cloud Engineering, or related roles, including 2+ years focused on MLOps in production environments Advanced proficiency in Python for development, automation, and scripting Proven experience building and deploying production-grade APIs and backend services (FastAPI, Flask, Django) Strong SQL skills and experience designing and optimizing data models for relational and NoSQL systems (e.g., BigQuery, Cloud SQL) Hands-on experience with workflow orchestration tools (Dagster, Airflow) Expert knowledge of Docker and Kubernetes, including Helm and Kubernetes-native IaC tools (e.g., Crossplane); GKE experience strongly preferred Extensive experience within the Google Cloud Platform (GCP) ecosystem (Compute Engine, Cloud Storage, BigQuery, Pub/Sub, Vertex AI) Strong GitHub-based development workflows (branching, pull requests, code reviews) Solid understanding of network architecture, security principles, and large-scale data processing Excellent communication, collaboration, and problem-solving skills Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Senior DevOps Engineer (Kubernetes + AWS)
🏢 Jobot
Salary not disclosed
Fully Remote.
Well-Funded Startup.
Meaningful Equity.
Annual Bonus.
Great Benefits! This Jobot Job is hosted by: Grant Greenhalgh Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $180,000 per year A bit about us: We are a fast-growth, well-funded software company.
Our platform offers end-to-end DevOps software for teams that don’t have dedicated Cloud Infrastructure engineers.
The platform handles everything from automation, integrations, migrations, cloud ops, DevOps, and security/compliance, with 24x7 monitoring and support.
Why join us? We have an engineering, product driven culture that does right by our employees.
Our customers love us, our product is in high demand and we’re growing quickly Our team has been remote since day one.
10% Annual Bonus, Unlimited PTO, WFH Stipend Comprehensive Healthcare and Dental Benefits Meaningful Equity and Options Job Details We are looking for a DevOps Engineer that is fluent with Kubernetes, cloud deployments and AWS.
The role involves understanding the customer’s high level application and translating it into lower-level cloud constructs, followed by executing that implementation using our platform.
*** MUST BE BASED IN THE US, MUST HAVE PREVIOUS EXPERIENCE IN A STARTUP ENVIRONMENT
*** Qualifications 6+ years of cloud architecture or DevOps experience, with an emphasis on the AWS suite of tools Sound knowledge of Kubernetes, ECS and similar container orchestration technologies.
Well-versed with containerized apps, migrations and modern CI/CD tools 3+ years of building Docker images across one or more stacks (Python, Node.js, Java, PHP, etc.) Hands on experience with Cloud Automation Tools like Terraform Experience with monitoring tools like Grafana, Prometheus and DataDog Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Well-Funded Startup.
Meaningful Equity.
Annual Bonus.
Great Benefits! This Jobot Job is hosted by: Grant Greenhalgh Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $180,000 per year A bit about us: We are a fast-growth, well-funded software company.
Our platform offers end-to-end DevOps software for teams that don’t have dedicated Cloud Infrastructure engineers.
The platform handles everything from automation, integrations, migrations, cloud ops, DevOps, and security/compliance, with 24x7 monitoring and support.
Why join us? We have an engineering, product driven culture that does right by our employees.
Our customers love us, our product is in high demand and we’re growing quickly Our team has been remote since day one.
10% Annual Bonus, Unlimited PTO, WFH Stipend Comprehensive Healthcare and Dental Benefits Meaningful Equity and Options Job Details We are looking for a DevOps Engineer that is fluent with Kubernetes, cloud deployments and AWS.
The role involves understanding the customer’s high level application and translating it into lower-level cloud constructs, followed by executing that implementation using our platform.
*** MUST BE BASED IN THE US, MUST HAVE PREVIOUS EXPERIENCE IN A STARTUP ENVIRONMENT
*** Qualifications 6+ years of cloud architecture or DevOps experience, with an emphasis on the AWS suite of tools Sound knowledge of Kubernetes, ECS and similar container orchestration technologies.
Well-versed with containerized apps, migrations and modern CI/CD tools 3+ years of building Docker images across one or more stacks (Python, Node.js, Java, PHP, etc.) Hands on experience with Cloud Automation Tools like Terraform Experience with monitoring tools like Grafana, Prometheus and DataDog Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Senior Data Engineer
🏢 Jobot
Salary not disclosed
Join a World Class Team Operating at the Intersection of Technology, Data, and Digital Products This Jobot Job is hosted by: Amanda Preston Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $155,000
- $175,000 per year A bit about us: Competitive salary and comprehensive benefits Long-term stability with continued investment in technology and engineering High-visibility work with real-world impact A collaborative, engineering-driven culture focused on quality and continuous improvement Why join us? Work on data and machine learning platforms operating at significant scale Own and influence core systems that power critical business capabilities Collaborate with experienced engineers and data scientists in a highly technical environment Tackle complex engineering challenges with modern cloud and MLOps tooling Enjoy the stability of a mature organization combined with the opportunity to modernize and innovate Job Details Senior Data Engineer Role Summary Join a high-performing engineering team at a large, global organization operating at the intersection of technology, data, and digital products.
We are seeking a highly motivated Senior Data Engineer to lead the architecture, deployment, and operation of next-generation, data-driven platforms.
In this role, you will bridge the gap between Data Science and Production Engineering, ensuring that datasets, machine learning models, and core services are deployed reliably, scalably, and securely in the cloud.
This is a high-impact position requiring deep expertise in data architecture, backend engineering, and the full machine learning lifecycle in production environments.
Key Responsibilities Data Pipeline Design & Orchestration Design, build, and maintain robust data ingestion and transformation pipelines Leverage modern orchestration tools to ensure reliable, observable data flows supporting machine learning workloads Core Development Write clean, efficient, and well-tested Python code for automation, infrastructure tooling, and service integration Develop shared libraries and glue services connecting cloud-native components API & Service Deployment Design, develop, and deploy high-performance Python APIs (FastAPI / Flask) to serve machine learning predictions and core application logic MLOps Pipeline Ownership Own end-to-end pipelines for continuous training, deployment, versioning, and monitoring of production ML models (e.g., recommendation or personalization systems) Infrastructure Management Architect and maintain scalable, fault-tolerant infrastructure using Kubernetes (GKE) within Google Cloud Platform Ensure reliability, performance, and cost efficiency across environments Collaboration & Mentorship Partner closely with data scientists, software engineers, and platform teams Provide technical leadership and mentorship to junior engineers Qualifications Must-Have (Engineering Excellence) 5+ years of professional experience in Data Engineering, Software Engineering, or Cloud Engineering Deep expertise in Python for application development, data processing, and automation Proven experience building and deploying production-grade backend services and APIs (FastAPI, Flask, or Django) Strong SQL skills with experience designing and optimizing schemas for relational and analytical data stores (e.g., BigQuery, Cloud SQL) Hands-on experience with data orchestration tools such as Dagster or Airflow Extensive experience designing and operating services within Google Cloud Platform (BigQuery, Pub/Sub, Vertex AI, Compute Engine) Expert-level knowledge of Docker and Kubernetes, including Helm-based deployments Nice-to-Have (DevOps & MLOps) Experience with Infrastructure as Code tools such as Terraform or Crossplane CI/CD experience using GitHub Actions or similar tooling Familiarity with observability stacks (Prometheus, Grafana, Cloud Logging) Understanding of cloud security principles and enterprise compliance requirements Direct experience supporting production MLOps workflows (model monitoring, drift detection, automated retraining) Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $155,000
- $175,000 per year A bit about us: Competitive salary and comprehensive benefits Long-term stability with continued investment in technology and engineering High-visibility work with real-world impact A collaborative, engineering-driven culture focused on quality and continuous improvement Why join us? Work on data and machine learning platforms operating at significant scale Own and influence core systems that power critical business capabilities Collaborate with experienced engineers and data scientists in a highly technical environment Tackle complex engineering challenges with modern cloud and MLOps tooling Enjoy the stability of a mature organization combined with the opportunity to modernize and innovate Job Details Senior Data Engineer Role Summary Join a high-performing engineering team at a large, global organization operating at the intersection of technology, data, and digital products.
We are seeking a highly motivated Senior Data Engineer to lead the architecture, deployment, and operation of next-generation, data-driven platforms.
In this role, you will bridge the gap between Data Science and Production Engineering, ensuring that datasets, machine learning models, and core services are deployed reliably, scalably, and securely in the cloud.
This is a high-impact position requiring deep expertise in data architecture, backend engineering, and the full machine learning lifecycle in production environments.
Key Responsibilities Data Pipeline Design & Orchestration Design, build, and maintain robust data ingestion and transformation pipelines Leverage modern orchestration tools to ensure reliable, observable data flows supporting machine learning workloads Core Development Write clean, efficient, and well-tested Python code for automation, infrastructure tooling, and service integration Develop shared libraries and glue services connecting cloud-native components API & Service Deployment Design, develop, and deploy high-performance Python APIs (FastAPI / Flask) to serve machine learning predictions and core application logic MLOps Pipeline Ownership Own end-to-end pipelines for continuous training, deployment, versioning, and monitoring of production ML models (e.g., recommendation or personalization systems) Infrastructure Management Architect and maintain scalable, fault-tolerant infrastructure using Kubernetes (GKE) within Google Cloud Platform Ensure reliability, performance, and cost efficiency across environments Collaboration & Mentorship Partner closely with data scientists, software engineers, and platform teams Provide technical leadership and mentorship to junior engineers Qualifications Must-Have (Engineering Excellence) 5+ years of professional experience in Data Engineering, Software Engineering, or Cloud Engineering Deep expertise in Python for application development, data processing, and automation Proven experience building and deploying production-grade backend services and APIs (FastAPI, Flask, or Django) Strong SQL skills with experience designing and optimizing schemas for relational and analytical data stores (e.g., BigQuery, Cloud SQL) Hands-on experience with data orchestration tools such as Dagster or Airflow Extensive experience designing and operating services within Google Cloud Platform (BigQuery, Pub/Sub, Vertex AI, Compute Engine) Expert-level knowledge of Docker and Kubernetes, including Helm-based deployments Nice-to-Have (DevOps & MLOps) Experience with Infrastructure as Code tools such as Terraform or Crossplane CI/CD experience using GitHub Actions or similar tooling Familiarity with observability stacks (Prometheus, Grafana, Cloud Logging) Understanding of cloud security principles and enterprise compliance requirements Direct experience supporting production MLOps workflows (model monitoring, drift detection, automated retraining) Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
Director of Site Reliability Engineering
🏢 Jobot
Salary not disclosed
This Jobot Job is hosted by: Merwan Zattam Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $220,000
- $260,000 per year A bit about us: We are a mission-driven organization dedicated to making AI adoption safe and secure for enterprises worldwide.
As the leading provider of Security for AI, our platform protects agentic, generative, and predictive AI applications across the entire lifecycle—safeguarding intellectual property, ensuring compliance, and enabling organizations to innovate with confidence.
Our team was founded by cybersecurity and machine learning veterans who experienced a real adversarial AI attack firsthand.
That moment led to the creation of a new category focused entirely on protecting machine learning systems from threats such as prompt injection, adversarial manipulation, model theft, and supply chain compromise.
Backed by strategic investors including Microsoft’s Venture Fund (M12), Moore Strategic Ventures, Booz Allen Ventures, IBM Ventures, and Capital One Ventures, we combine patented technology with industry-leading research to defend the world’s most critical AI systems.
Recognized by Gartner as a “Cool Vendor for AI Security” and trusted by Fortune 500 organizations, government agencies, and enterprises across highly regulated industries, we are shaping the future of AI security in real time.
With strong product–market fit and rapid growth, this is an opportunity to join a generational company at a true inflection point—where the mission is bold, the bar is high, and the room for impact and growth is unmatched.
Why join us? Top Benefits of Working Here Be part of a new, fast-growing category Work at the forefront of AI security, an emerging space with massive demand and almost no competition.
High-impact mission Your work protects mission-critical AI systems for Fortune 500 companies, government agencies, and regulated industries.
Cutting-edge engineering Tackle challenges in AI/ML security, adversarial defense, model protection, and large-scale distributed systems.
Backed by top-tier investors Strong funding and stability from groups like Microsoft’s venture fund, IBM Ventures, and others.
Build from the ground up Shape the SRE, platform, and reliability culture—this is not a legacy environment.
High autonomy & ownership Influence roadmap, architecture, tooling, and direction.
Your work is visible and meaningful.
Fully remote, U.S.-based Flexibility, work-life balance, and a high-performance culture.
Competitive pay + real equity upside Top-tier compensation with equity at a company in a hyper-growth phase.
Elite team & steep career growth Collaborate with seasoned leaders in cybersecurity, ML, and enterprise infrastructure—and grow as the company grows.
Job Details Director of Site Reliability Engineering Remote – United States We are seeking a Director of Site Reliability Engineering to lead the broader Platform Engineering organization with a strategic focus on building a world-class SRE function.
Reporting to the VP of Engineering, you will be responsible for the reliability, scalability, and operational excellence of the mission-critical AI security platform used by enterprises and government organizations worldwide.
In this senior leadership role, you will define the SRE strategy, mentor and scale a high-performing team, and implement the systems, practices, and culture required to support rapid growth.
You will work at the intersection of cutting-edge AI security technology and enterprise-grade infrastructure, ensuring the platform delivers the always-on performance our customers depend on.
Your work will directly strengthen the security posture of organizations protecting their most valuable AI assets—from financial institutions and healthcare providers to government and Fortune 500 enterprises.
What You’ll Do Build and Lead the SRE Function Define and execute the SRE strategy and roadmap, positioning reliability as a core product feature Build, mentor, and scale a high-performing SRE and Platform Engineering team Establish SRE principles, culture, and best practices across engineering Create clear career development paths and raise the bar for hiring and excellence Drive Platform Reliability & Operational Excellence Own reliability, availability, latency, and performance across multi-cloud, multi-region deployments (AWS, Azure, GCP) Set and achieve SLOs/SLIs aligned with business objectives Architect multi-region resiliency: automated failover, graceful degradation, and disaster recovery Build robust observability: distributed tracing, metrics, logging, and actionable alerting Lead incident management: on-call processes, incident command, blameless post-mortems, and systematic remediation Enable Developer Velocity & Platform Excellence Own CI/CD pipelines and deployment infrastructure for safe, fast, reliable delivery Build internal developer platforms and tooling that reduce toil and improve productivity Implement progressive delivery (canaries, feature flags, automated rollbacks) Partner with engineering teams to embed reliability requirements and design patterns early in development Security, Compliance & Enterprise Requirements Ensure alignment with standards such as FedRAMP, SOC 2, ISO 27001, and other regulatory requirements Build and support air-gapped and on-premises deployment capabilities Implement infrastructure security controls, secrets management, and audit logging Support customer-facing SLAs and maintain trust with enterprise and government clients Scale & Optimize the Platform Lead capacity planning and performance engineering for platform growth Drive chaos engineering and resilience testing to validate system behavior under failure Optimize cost while maintaining reliability and performance Automate operational workflows to eliminate toil and improve efficiency What You Bring Leadership & Experience 8+ years in infrastructure, platform engineering, or SRE roles 4+ years in engineering leadership Experience supporting mission-critical, always-on systems at enterprise scale Strong people leadership and a track record of building high-performing teams Technical Expertise Deep knowledge of cloud infrastructure (AWS, Azure, GCP) and multi-region systems Strong experience with Kubernetes, Docker, and infrastructure-as-code (Terraform, Pulumi, CloudFormation) Proven ability to build and operate large-scale distributed systems Expertise in observability tooling (Prometheus, Grafana, Datadog, New Relic, ELK/EFK, distributed tracing) Proficiency in Python, Go, or similar languages Understanding of databases, data pipelines, message queues, and caching systems Strategic & Operational Skills Experience driving SRE strategy, SLOs/SLIs, error budgets, and incident management Ability to partner across engineering, product, security, and customer success Strong communication skills across technical and non-technical audiences Pragmatic problem-solving and sound decision-making Bonus Experience Background in cybersecurity or AI/ML infrastructure Familiarity with compliance frameworks (FedRAMP, SOC 2, ISO 27001, NIST) Experience supporting air-gapped or on-premise deployments Hands-on experience with chaos engineering and game day exercises Open-source contributions or SRE community leadership Why This Opportunity Stands Out Impact: Define reliability strategy for a category-leading AI security platform Growth: Build and scale the SRE function from the ground up in a fast-growing, well-funded environment Mission: Work on technology that is shaping the future of secure AI adoption Team: Join a world-class engineering organization with deep roots in security, ML, and distributed systems Innovation: Solve novel problems at the intersection of AI, security, and infrastructure Flexibility: Fully remote role with competitive compensation, equity, and benefits Location & Work Environment This is a fully remote position within the United States.
We value flexibility, ownership, collaboration, and excellence.
The team operates across time zones with a blend of async communication, regular syncs, and purposeful in-person gatherings.
Equal Opportunity We are an equal opportunity employer and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any legally protected status.
We are committed to fostering an inclusive environment where all team members can thrive.
If you need accommodations during the application or interview process, please let us know.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Salary: $220,000
- $260,000 per year A bit about us: We are a mission-driven organization dedicated to making AI adoption safe and secure for enterprises worldwide.
As the leading provider of Security for AI, our platform protects agentic, generative, and predictive AI applications across the entire lifecycle—safeguarding intellectual property, ensuring compliance, and enabling organizations to innovate with confidence.
Our team was founded by cybersecurity and machine learning veterans who experienced a real adversarial AI attack firsthand.
That moment led to the creation of a new category focused entirely on protecting machine learning systems from threats such as prompt injection, adversarial manipulation, model theft, and supply chain compromise.
Backed by strategic investors including Microsoft’s Venture Fund (M12), Moore Strategic Ventures, Booz Allen Ventures, IBM Ventures, and Capital One Ventures, we combine patented technology with industry-leading research to defend the world’s most critical AI systems.
Recognized by Gartner as a “Cool Vendor for AI Security” and trusted by Fortune 500 organizations, government agencies, and enterprises across highly regulated industries, we are shaping the future of AI security in real time.
With strong product–market fit and rapid growth, this is an opportunity to join a generational company at a true inflection point—where the mission is bold, the bar is high, and the room for impact and growth is unmatched.
Why join us? Top Benefits of Working Here Be part of a new, fast-growing category Work at the forefront of AI security, an emerging space with massive demand and almost no competition.
High-impact mission Your work protects mission-critical AI systems for Fortune 500 companies, government agencies, and regulated industries.
Cutting-edge engineering Tackle challenges in AI/ML security, adversarial defense, model protection, and large-scale distributed systems.
Backed by top-tier investors Strong funding and stability from groups like Microsoft’s venture fund, IBM Ventures, and others.
Build from the ground up Shape the SRE, platform, and reliability culture—this is not a legacy environment.
High autonomy & ownership Influence roadmap, architecture, tooling, and direction.
Your work is visible and meaningful.
Fully remote, U.S.-based Flexibility, work-life balance, and a high-performance culture.
Competitive pay + real equity upside Top-tier compensation with equity at a company in a hyper-growth phase.
Elite team & steep career growth Collaborate with seasoned leaders in cybersecurity, ML, and enterprise infrastructure—and grow as the company grows.
Job Details Director of Site Reliability Engineering Remote – United States We are seeking a Director of Site Reliability Engineering to lead the broader Platform Engineering organization with a strategic focus on building a world-class SRE function.
Reporting to the VP of Engineering, you will be responsible for the reliability, scalability, and operational excellence of the mission-critical AI security platform used by enterprises and government organizations worldwide.
In this senior leadership role, you will define the SRE strategy, mentor and scale a high-performing team, and implement the systems, practices, and culture required to support rapid growth.
You will work at the intersection of cutting-edge AI security technology and enterprise-grade infrastructure, ensuring the platform delivers the always-on performance our customers depend on.
Your work will directly strengthen the security posture of organizations protecting their most valuable AI assets—from financial institutions and healthcare providers to government and Fortune 500 enterprises.
What You’ll Do Build and Lead the SRE Function Define and execute the SRE strategy and roadmap, positioning reliability as a core product feature Build, mentor, and scale a high-performing SRE and Platform Engineering team Establish SRE principles, culture, and best practices across engineering Create clear career development paths and raise the bar for hiring and excellence Drive Platform Reliability & Operational Excellence Own reliability, availability, latency, and performance across multi-cloud, multi-region deployments (AWS, Azure, GCP) Set and achieve SLOs/SLIs aligned with business objectives Architect multi-region resiliency: automated failover, graceful degradation, and disaster recovery Build robust observability: distributed tracing, metrics, logging, and actionable alerting Lead incident management: on-call processes, incident command, blameless post-mortems, and systematic remediation Enable Developer Velocity & Platform Excellence Own CI/CD pipelines and deployment infrastructure for safe, fast, reliable delivery Build internal developer platforms and tooling that reduce toil and improve productivity Implement progressive delivery (canaries, feature flags, automated rollbacks) Partner with engineering teams to embed reliability requirements and design patterns early in development Security, Compliance & Enterprise Requirements Ensure alignment with standards such as FedRAMP, SOC 2, ISO 27001, and other regulatory requirements Build and support air-gapped and on-premises deployment capabilities Implement infrastructure security controls, secrets management, and audit logging Support customer-facing SLAs and maintain trust with enterprise and government clients Scale & Optimize the Platform Lead capacity planning and performance engineering for platform growth Drive chaos engineering and resilience testing to validate system behavior under failure Optimize cost while maintaining reliability and performance Automate operational workflows to eliminate toil and improve efficiency What You Bring Leadership & Experience 8+ years in infrastructure, platform engineering, or SRE roles 4+ years in engineering leadership Experience supporting mission-critical, always-on systems at enterprise scale Strong people leadership and a track record of building high-performing teams Technical Expertise Deep knowledge of cloud infrastructure (AWS, Azure, GCP) and multi-region systems Strong experience with Kubernetes, Docker, and infrastructure-as-code (Terraform, Pulumi, CloudFormation) Proven ability to build and operate large-scale distributed systems Expertise in observability tooling (Prometheus, Grafana, Datadog, New Relic, ELK/EFK, distributed tracing) Proficiency in Python, Go, or similar languages Understanding of databases, data pipelines, message queues, and caching systems Strategic & Operational Skills Experience driving SRE strategy, SLOs/SLIs, error budgets, and incident management Ability to partner across engineering, product, security, and customer success Strong communication skills across technical and non-technical audiences Pragmatic problem-solving and sound decision-making Bonus Experience Background in cybersecurity or AI/ML infrastructure Familiarity with compliance frameworks (FedRAMP, SOC 2, ISO 27001, NIST) Experience supporting air-gapped or on-premise deployments Hands-on experience with chaos engineering and game day exercises Open-source contributions or SRE community leadership Why This Opportunity Stands Out Impact: Define reliability strategy for a category-leading AI security platform Growth: Build and scale the SRE function from the ground up in a fast-growing, well-funded environment Mission: Work on technology that is shaping the future of secure AI adoption Team: Join a world-class engineering organization with deep roots in security, ML, and distributed systems Innovation: Solve novel problems at the intersection of AI, security, and infrastructure Flexibility: Fully remote role with competitive compensation, equity, and benefits Location & Work Environment This is a fully remote position within the United States.
We value flexibility, ownership, collaboration, and excellence.
The team operates across time zones with a blend of async communication, regular syncs, and purposeful in-person gatherings.
Equal Opportunity We are an equal opportunity employer and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any legally protected status.
We are committed to fostering an inclusive environment where all team members can thrive.
If you need accommodations during the application or interview process, please let us know.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
J
DevOps Support Engineer
🏢 Jobot
Salary not disclosed
Fully Remote, Well-Funded Startup.
Meaningful Equity, Annual Bonus, Great Benefits! This Jobot Job is hosted by: Grant Greenhalgh Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $100,000
- $120,000 per year A bit about us: We are a fast-growth, well-funded SaaS company.
Our platform offers end-to-end DevOps software for teams that don’t have dedicated Cloud Infrastructure engineers.
The platform handles everything from automation, integrations, migrations, cloud ops, DevOps, and security/compliance, with 24x7 monitoring and support.
Why join us? We have an engineering, product driven culture that does right by our employees.
Our team has been remote since day one.
Annual Bonus and 401k Comprehensive Healthcare and Dental Benefits Meaningful Equity and Options Well-funded, stable and room for growth Job Details We’re looking for a Junior DevOps Engineer to join our growing infrastructure team and help support cloud environments for internal teams and external clients.
You’ll work closely with senior DevOps engineers, software engineers, and customer-facing teams to keep systems running smoothly while gradually taking on more ownership.
Expectations Support and maintain AWS infrastructure across multiple environments Assist with incident response, troubleshooting, and system monitoring Help manage and improve CI/CD pipelines Support containerized workloads using Kubernetes (interaction/ops level) Perform operational tasks: deployments, access management, backups, logging Collaborate with senior engineers to implement best practices in reliability and security Document processes, fixes, and learnings to improve team efficiency Qualifications 2 + years of professional experience in a DevOps, Cloud Infrastructure focused role.
Must have hands-on, production level experience with AWS Strong communication skills, able to work with both technical teams and clients Experience working with Kubernetes and Terraform in production.
Familiarity with CI/CD tools (GitHub Actions, GitLab CI, Jenkins, etc.) Familiarity with Monitoring/logging tools (CloudWatch, Datadog, Prometheus, etc.) AWS certifications would be ideal (or actively working toward one) Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
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Meaningful Equity, Annual Bonus, Great Benefits! This Jobot Job is hosted by: Grant Greenhalgh Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $100,000
- $120,000 per year A bit about us: We are a fast-growth, well-funded SaaS company.
Our platform offers end-to-end DevOps software for teams that don’t have dedicated Cloud Infrastructure engineers.
The platform handles everything from automation, integrations, migrations, cloud ops, DevOps, and security/compliance, with 24x7 monitoring and support.
Why join us? We have an engineering, product driven culture that does right by our employees.
Our team has been remote since day one.
Annual Bonus and 401k Comprehensive Healthcare and Dental Benefits Meaningful Equity and Options Well-funded, stable and room for growth Job Details We’re looking for a Junior DevOps Engineer to join our growing infrastructure team and help support cloud environments for internal teams and external clients.
You’ll work closely with senior DevOps engineers, software engineers, and customer-facing teams to keep systems running smoothly while gradually taking on more ownership.
Expectations Support and maintain AWS infrastructure across multiple environments Assist with incident response, troubleshooting, and system monitoring Help manage and improve CI/CD pipelines Support containerized workloads using Kubernetes (interaction/ops level) Perform operational tasks: deployments, access management, backups, logging Collaborate with senior engineers to implement best practices in reliability and security Document processes, fixes, and learnings to improve team efficiency Qualifications 2 + years of professional experience in a DevOps, Cloud Infrastructure focused role.
Must have hands-on, production level experience with AWS Strong communication skills, able to work with both technical teams and clients Experience working with Kubernetes and Terraform in production.
Familiarity with CI/CD tools (GitHub Actions, GitLab CI, Jenkins, etc.) Familiarity with Monitoring/logging tools (CloudWatch, Datadog, Prometheus, etc.) AWS certifications would be ideal (or actively working toward one) Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Not Specified
A
UX / UI Engineer
Salary not disclosed
Summary: Hybrid position (flexible on days onsite and remote) Work schedule: M-F, 8-5 with some flexibility Travel: Some, to conferences or traveling to lab onsite Location: Melbourne, FL Duration: 12 Months Responsibilities: Design and develop user-friendly interfaces for applications.
Conduct user research and testing to improve designs.
Collaborate with teams to implement UI/UX solutions.
Document design activities and prepare detailed reports.
Ensure adherence to UI/UX standards and best practices.
Requirements: Bachelor’s degree in Design, IT, or related field.
Experience in UI/UX design or related roles.
Strong creative and problem-solving skills.
Knowledge of design tools and methodologies.
Required Skills: Angular Python HTML, CSS, TypeScript/React or Angular (UI) Deep experience with Kubernetes/K3s, Kafka/NATS, MQTT, gRPC, PulsarInfluxDB/TimescaleDB, and observability stacks (Prometheus, Grafana).
Preferred Skills: Go, Rust, Python (backend/edge)
Conduct user research and testing to improve designs.
Collaborate with teams to implement UI/UX solutions.
Document design activities and prepare detailed reports.
Ensure adherence to UI/UX standards and best practices.
Requirements: Bachelor’s degree in Design, IT, or related field.
Experience in UI/UX design or related roles.
Strong creative and problem-solving skills.
Knowledge of design tools and methodologies.
Required Skills: Angular Python HTML, CSS, TypeScript/React or Angular (UI) Deep experience with Kubernetes/K3s, Kafka/NATS, MQTT, gRPC, PulsarInfluxDB/TimescaleDB, and observability stacks (Prometheus, Grafana).
Preferred Skills: Go, Rust, Python (backend/edge)
Not Specified
A
Infrastructure and DevOps Engineer
🏢 Axelon Services Corporation
Salary not disclosed
Global Financial Firm located in Jersey City, NJ has an immediate contract opportunity for an experienced professional Job Title: Infrastructure and DevOps Engineer Work Mode: Hybrid (expected in the office weekly 3 days depending on the team requirement) Pay Rate Range: $106.00
- $109.00 Negotiable based upon years of experience Note: You will need to have reliable internet, computer and android or iPhone for remote access into the client systems during remote work.
Video/ f2f interviews are required prior to all offers.
About the Role We are seeking a highly motivated and experienced professional to join our dynamic team.
In this pivotal role, you will be responsible for: Designing, building, and maintaining scalable and reliable infrastructure.
Automating operational processes.
Fostering a culture of continuous improvement and collaboration between development and operations.
Ensuring smooth operation and continuous delivery of applications.
Key Responsibilities Design, implement, and manage highly available, scalable, and secure cloud infrastructure, including Virtual Machines, OpenShift, and Kubernetes.
Develop, maintain, and optimize CI/CD pipelines for rapid and reliable software deployment.
Conduct and participate in Disaster Recovery Testing for system resiliency and business continuity.
Implement and manage Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Ansible.
Monitor system performance, troubleshoot complex issues, and ensure proactive incident resolution.
Automate operational tasks, build tools, and improve processes to enhance efficiency.
Collaborate closely with development teams to integrate DevOps practices and improve system reliability.
Implement and enforce security best practices and compliance standards.
Participate in an on-call rotation to support critical production systems and respond to incidents.
Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
10 years of experience in a DevOps, Site Reliability Engineering (SRE), or Infrastructure Engineering role.
Proven expertise with at least one major cloud provider (e.g., AWS, Azure, GCP) within a Linux environment.
Proficiency in scripting and programming languages (e.g., Java, Bash, SQL, Python).
Extensive experience with CI/CD tools (e.g., Jenkins, Tekton, TeamCity).
Solid understanding and hands-on experience with containerization technologies (Docker) and orchestration platforms (Kubernetes, OpenShift).
Experience with monitoring and logging solutions (e.g., Prometheus, Grafana, ELK Stack, Datadog).
Experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible.
Strong understanding of Linux operating systems and networking fundamentals.
Experience with Oracle databases.
Preferred Qualifications Relevant professional certifications (e.g., AWS Certified DevOps Engineer, Kubernetes Administrator, Oracle Certified Professional).
Experience with microservices architectures and serverless computing.
Knowledge of security best practices, compliance frameworks (e.g., ISO 27001, SOC 2), and security tools.
Excellent communication and collaboration skills.
- $109.00 Negotiable based upon years of experience Note: You will need to have reliable internet, computer and android or iPhone for remote access into the client systems during remote work.
Video/ f2f interviews are required prior to all offers.
About the Role We are seeking a highly motivated and experienced professional to join our dynamic team.
In this pivotal role, you will be responsible for: Designing, building, and maintaining scalable and reliable infrastructure.
Automating operational processes.
Fostering a culture of continuous improvement and collaboration between development and operations.
Ensuring smooth operation and continuous delivery of applications.
Key Responsibilities Design, implement, and manage highly available, scalable, and secure cloud infrastructure, including Virtual Machines, OpenShift, and Kubernetes.
Develop, maintain, and optimize CI/CD pipelines for rapid and reliable software deployment.
Conduct and participate in Disaster Recovery Testing for system resiliency and business continuity.
Implement and manage Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Ansible.
Monitor system performance, troubleshoot complex issues, and ensure proactive incident resolution.
Automate operational tasks, build tools, and improve processes to enhance efficiency.
Collaborate closely with development teams to integrate DevOps practices and improve system reliability.
Implement and enforce security best practices and compliance standards.
Participate in an on-call rotation to support critical production systems and respond to incidents.
Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
10 years of experience in a DevOps, Site Reliability Engineering (SRE), or Infrastructure Engineering role.
Proven expertise with at least one major cloud provider (e.g., AWS, Azure, GCP) within a Linux environment.
Proficiency in scripting and programming languages (e.g., Java, Bash, SQL, Python).
Extensive experience with CI/CD tools (e.g., Jenkins, Tekton, TeamCity).
Solid understanding and hands-on experience with containerization technologies (Docker) and orchestration platforms (Kubernetes, OpenShift).
Experience with monitoring and logging solutions (e.g., Prometheus, Grafana, ELK Stack, Datadog).
Experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible.
Strong understanding of Linux operating systems and networking fundamentals.
Experience with Oracle databases.
Preferred Qualifications Relevant professional certifications (e.g., AWS Certified DevOps Engineer, Kubernetes Administrator, Oracle Certified Professional).
Experience with microservices architectures and serverless computing.
Knowledge of security best practices, compliance frameworks (e.g., ISO 27001, SOC 2), and security tools.
Excellent communication and collaboration skills.
Not Specified
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