Terraform Github Jobs Remote Jobs in Usa
38 positions found — Page 4
DevOps Engineer - Observability
🏢 Uline
Salary not disclosed
DevOps Engineer
- Observability Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 At Uline, we count on reliable, resilient systems to keep up with our growth.
As a DevOps Engineer specialized in Observability, you’ll help drive that reliability by implementing modern monitoring, automation and orchestration practices that keep our systems performing at their best.
Careers Packed with Potential.
Backed by 45+ years of success, Uline offers opportunities to grow your career with stability you can count on.
Position Responsibilities Work with a modern observability stack (ElasticSearch, Prometheus/Thanos, OpenTelemetry, Grafana etc.) and help shape what comes next.
Build and automate infrastructure provisioning using Terraform, Kubernetes, GitHub Actions, ArgoCD, or similar tools.
Drive end-to-end visibility across distributed systems with real-time metrics, logs, traces, and SLO-based alerting.
Influence architecture decisions and help define best practices for performance, reliability, and incident response.
Minimum Requirements Bachelor's degree in information technology, computer science or a related field.
3+ years of hands-on experience with ElasticSearch or HashiCorp Vault with expertise in installation, configuration, support, log analysis and performance tuning.
3+ years of experience with Docker or Kubernetes container orchestration tools & IaC automation tools.
Experience with AI / ML in operations (AIOps) a plus.
Uline does not participate in the H1-B lottery.
Benefits Complete health insurance coverage and 401(k) with 6% employer match that starts day one! Multiple bonus programs.
Paid holidays and generous paid time off.
Tuition Assistance Program that covers professional continuing education.
Employee Perks On-site café and first-class fitness center with complimentary personal trainers.
Over four miles of beautifully maintained walking trails.
About Uline Uline, a family-owned company, is North America’s leading distributor of shipping, industrial, and packaging materials with over 9,800 employees across 14 locations.
Uline is a drug-free workplace.
All new hires must complete a pre-employment hair follicle drug screening.
All positions are on-site.
EEO/AA Employer/Vet/Disabled #LI-SR1 #CORP (#IN-PPITL1) #ZR-HQIT Our employees make the difference and we are committed to offering exceptional benefits and perks! Explore Uline.jobs to learn more!
- Observability Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 At Uline, we count on reliable, resilient systems to keep up with our growth.
As a DevOps Engineer specialized in Observability, you’ll help drive that reliability by implementing modern monitoring, automation and orchestration practices that keep our systems performing at their best.
Careers Packed with Potential.
Backed by 45+ years of success, Uline offers opportunities to grow your career with stability you can count on.
Position Responsibilities Work with a modern observability stack (ElasticSearch, Prometheus/Thanos, OpenTelemetry, Grafana etc.) and help shape what comes next.
Build and automate infrastructure provisioning using Terraform, Kubernetes, GitHub Actions, ArgoCD, or similar tools.
Drive end-to-end visibility across distributed systems with real-time metrics, logs, traces, and SLO-based alerting.
Influence architecture decisions and help define best practices for performance, reliability, and incident response.
Minimum Requirements Bachelor's degree in information technology, computer science or a related field.
3+ years of hands-on experience with ElasticSearch or HashiCorp Vault with expertise in installation, configuration, support, log analysis and performance tuning.
3+ years of experience with Docker or Kubernetes container orchestration tools & IaC automation tools.
Experience with AI / ML in operations (AIOps) a plus.
Uline does not participate in the H1-B lottery.
Benefits Complete health insurance coverage and 401(k) with 6% employer match that starts day one! Multiple bonus programs.
Paid holidays and generous paid time off.
Tuition Assistance Program that covers professional continuing education.
Employee Perks On-site café and first-class fitness center with complimentary personal trainers.
Over four miles of beautifully maintained walking trails.
About Uline Uline, a family-owned company, is North America’s leading distributor of shipping, industrial, and packaging materials with over 9,800 employees across 14 locations.
Uline is a drug-free workplace.
All new hires must complete a pre-employment hair follicle drug screening.
All positions are on-site.
EEO/AA Employer/Vet/Disabled #LI-SR1 #CORP (#IN-PPITL1) #ZR-HQIT Our employees make the difference and we are committed to offering exceptional benefits and perks! Explore Uline.jobs to learn more!
Not Specified
J
Senior Software Engineer
🏢 Jobot
Salary not disclosed
Go Backend Engineer, Client Driven Startup, Great Benefits, Equity! This Jobot Job is hosted by: Patrick Murphy Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $180,000
- $230,000 per year A bit about us: We’re partnering with a fast-growing digital health startup that’s transforming how patients and caregivers navigate complex medical journeys.
Founded and led by individuals who’ve lived through those experiences firsthand alongside veteran technologists, oncologists, and healthcare innovators, this team combines heart and technical excellence.
They’re backed by top-tier venture capital and already generating revenue from major industry partnerships.
If you’re looking for meaningful work that blends cutting-edge tech with real human impact, this is one to take seriously.
Why join us? Compensation & Perks: $180K–$230K base salary (depending on experience and fit, we are willing to go higher).
Equity and comprehensive health benefits.
Hybrid schedule (2 days/week onsite in San Francisco’s Financial District).
Unlimited PTO and flexible work culture.
High-impact role as the first in-house backend engineer — immediate ownership and growth path.
Job Details About the Role The team is building out its core engineering group in San Francisco and hiring a Senior Back-End Engineer (Golang) to take ownership of their existing backend systems and drive them to production readiness.
You’ll be the first in-house backend hire, giving you both immediate technical impact and long-term leadership potential as the team scales.
What You’ll Do: Take ownership of an existing Golang codebase and evolve it toward production scalability.
Architect, manage, and optimize cloud infrastructure (AWS) using Infrastructure-as-Code.
Build and refine CI/CD pipelines and deployment automation.
Design and develop APIs and backend features that directly affect users’ health journeys.
Collaborate closely with engineering leadership and product teams to shape technical direction.
Champion reliability, performance, and code quality across the backend stack.
What We’re Looking For: 5+ years of professional experience, including 3+ years with Golang.
Hands-on experience with RESTful APIs and Infrastructure-as-Code (Terraform, CloudFormation, or Pulumi).
Strong background in cloud infrastructure (AWS, GCP, or Azure) and CI/CD (Docker, GitHub Actions, etc.).
Proven success taking products from development to production.
Bonus points for: microservices, Kubernetes, healthcare or data privacy experience (HIPAA), and startup environments.
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: $180,000
- $230,000 per year A bit about us: We’re partnering with a fast-growing digital health startup that’s transforming how patients and caregivers navigate complex medical journeys.
Founded and led by individuals who’ve lived through those experiences firsthand alongside veteran technologists, oncologists, and healthcare innovators, this team combines heart and technical excellence.
They’re backed by top-tier venture capital and already generating revenue from major industry partnerships.
If you’re looking for meaningful work that blends cutting-edge tech with real human impact, this is one to take seriously.
Why join us? Compensation & Perks: $180K–$230K base salary (depending on experience and fit, we are willing to go higher).
Equity and comprehensive health benefits.
Hybrid schedule (2 days/week onsite in San Francisco’s Financial District).
Unlimited PTO and flexible work culture.
High-impact role as the first in-house backend engineer — immediate ownership and growth path.
Job Details About the Role The team is building out its core engineering group in San Francisco and hiring a Senior Back-End Engineer (Golang) to take ownership of their existing backend systems and drive them to production readiness.
You’ll be the first in-house backend hire, giving you both immediate technical impact and long-term leadership potential as the team scales.
What You’ll Do: Take ownership of an existing Golang codebase and evolve it toward production scalability.
Architect, manage, and optimize cloud infrastructure (AWS) using Infrastructure-as-Code.
Build and refine CI/CD pipelines and deployment automation.
Design and develop APIs and backend features that directly affect users’ health journeys.
Collaborate closely with engineering leadership and product teams to shape technical direction.
Champion reliability, performance, and code quality across the backend stack.
What We’re Looking For: 5+ years of professional experience, including 3+ years with Golang.
Hands-on experience with RESTful APIs and Infrastructure-as-Code (Terraform, CloudFormation, or Pulumi).
Strong background in cloud infrastructure (AWS, GCP, or Azure) and CI/CD (Docker, GitHub Actions, etc.).
Proven success taking products from development to production.
Bonus points for: microservices, Kubernetes, healthcare or data privacy experience (HIPAA), and startup environments.
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
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.
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
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
O
Full Stack Software Engineer III-V
Salary not disclosed
Position Summary The Full Stack Software Engineer is responsible for designing, developing, deploying, and supporting scalable, secure, and high-performing applications that enable the operational success of OPC, GTC, and GSOC.
This role supports the full software development lifecycle, including front-end development, back-end services, database design, system integration, deployment, and ongoing operational support.
The engineer collaborates with cross-functional teams to deliver reliable, integrated technology solutions aligned with business needs.
Candidates will be considered at Level III, IV, or V depending on experience and demonstrated technical leadership.
Key Responsibilities Full Stack Development • Design, develop, test, and maintain enterprise-grade applications across the technology stack.
• Build modern, responsive, and user-friendly interfaces using React or similar frameworks.
• Develop backend services, RESTful APIs, and microservices using Java (Spring Boot), Node.js, and/or Python.
• Ensure applications are optimized for performance, scalability, reliability, and maintainability.
Architecture & Integration • Contribute to system design and architectural decisions.
• Develop and maintain integrations between enterprise platforms to ensure data accuracy and operational efficiency.
• Participate in API design, microservices architecture, and modernization initiatives.
Cloud & DevOps • Deploy and support applications in Azure environment.
• Implement and maintain CI/CD pipelines to support automated builds, testing, and deployments.
• Utilize containerization and orchestration tools such as Docker and Kubernetes.
• Support infrastructure-as-code and DevOps best practices.
Operational Excellence & Support • Monitor system performance and troubleshoot issues across the stack.
• Perform root cause analysis and implement long-term solutions.
• Plan and execute upgrades, enhancements, and system optimizations.
• Provide visibility into application health and performance metrics.
Collaboration & Leadership • Partner with business stakeholders, analysts, and technical teams to translate requirements into scalable solutions.
• Participate in Agile/Scrum ceremonies and iterative development processes.
• Mentor junior engineers and contribute to knowledge sharing.
• Lead technical initiatives or projects based on level and experience.
Compliance & Security • Ensure adherence to corporate policies and regulatory standards (including RUS, OSHA, SOX, NERC, FERC, and ITS requirements).
• Apply secure coding practices and support application and infrastructure security initiatives.
• Promote a culture of compliance, accountability, and continuous improvement.
Qualifications Education Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.
Experience by Level Level III • 4+ years of full stack development experience.
• Independently manages development tasks and production support.
• Leads smaller initiatives and contributes to team projects.
Level IV • 6+ years of experience including application architecture and system optimization.
• Leads development projects and provides technical direction.
• Collaborates cross-functionally to deliver integrated enterprise solutions.
Level V • 8+ years of experience architecting and managing enterprise-scale applications.
• Oversees major technical initiatives.
• Provides strategic technical leadership and drives innovation across IT functions.
Technical Expertise • Java (Spring Boot), React.js or similar framework, Python, Node.js • Microservices architecture and API management • MSSQL, Oracle, MongoDB • Azure or AWS/GCP (cloud-native architectures preferred) • CI/CD pipelines, GitHub • Docker, Kubernetes, Terraform • Secure coding practices (OAuth, JWT, SSL) • Observability, logging, and monitoring tools • Familiarity of ML/AI technologies Key Competencies • Strong analytical and troubleshooting skills • Excellent written and verbal communication abilities • Customer-focused mindset • Ability to work independently and collaboratively • Commitment to continuous learning and technical growth Why Join OPC, GTC, and GSOC? • Work on impactful, mission-critical enterprise systems • Contribute to modernization and cloud transformation initiatives • Grow your technical leadership capabilities • Be part of a collaborative, innovation-driven IT organization
This role supports the full software development lifecycle, including front-end development, back-end services, database design, system integration, deployment, and ongoing operational support.
The engineer collaborates with cross-functional teams to deliver reliable, integrated technology solutions aligned with business needs.
Candidates will be considered at Level III, IV, or V depending on experience and demonstrated technical leadership.
Key Responsibilities Full Stack Development • Design, develop, test, and maintain enterprise-grade applications across the technology stack.
• Build modern, responsive, and user-friendly interfaces using React or similar frameworks.
• Develop backend services, RESTful APIs, and microservices using Java (Spring Boot), Node.js, and/or Python.
• Ensure applications are optimized for performance, scalability, reliability, and maintainability.
Architecture & Integration • Contribute to system design and architectural decisions.
• Develop and maintain integrations between enterprise platforms to ensure data accuracy and operational efficiency.
• Participate in API design, microservices architecture, and modernization initiatives.
Cloud & DevOps • Deploy and support applications in Azure environment.
• Implement and maintain CI/CD pipelines to support automated builds, testing, and deployments.
• Utilize containerization and orchestration tools such as Docker and Kubernetes.
• Support infrastructure-as-code and DevOps best practices.
Operational Excellence & Support • Monitor system performance and troubleshoot issues across the stack.
• Perform root cause analysis and implement long-term solutions.
• Plan and execute upgrades, enhancements, and system optimizations.
• Provide visibility into application health and performance metrics.
Collaboration & Leadership • Partner with business stakeholders, analysts, and technical teams to translate requirements into scalable solutions.
• Participate in Agile/Scrum ceremonies and iterative development processes.
• Mentor junior engineers and contribute to knowledge sharing.
• Lead technical initiatives or projects based on level and experience.
Compliance & Security • Ensure adherence to corporate policies and regulatory standards (including RUS, OSHA, SOX, NERC, FERC, and ITS requirements).
• Apply secure coding practices and support application and infrastructure security initiatives.
• Promote a culture of compliance, accountability, and continuous improvement.
Qualifications Education Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.
Experience by Level Level III • 4+ years of full stack development experience.
• Independently manages development tasks and production support.
• Leads smaller initiatives and contributes to team projects.
Level IV • 6+ years of experience including application architecture and system optimization.
• Leads development projects and provides technical direction.
• Collaborates cross-functionally to deliver integrated enterprise solutions.
Level V • 8+ years of experience architecting and managing enterprise-scale applications.
• Oversees major technical initiatives.
• Provides strategic technical leadership and drives innovation across IT functions.
Technical Expertise • Java (Spring Boot), React.js or similar framework, Python, Node.js • Microservices architecture and API management • MSSQL, Oracle, MongoDB • Azure or AWS/GCP (cloud-native architectures preferred) • CI/CD pipelines, GitHub • Docker, Kubernetes, Terraform • Secure coding practices (OAuth, JWT, SSL) • Observability, logging, and monitoring tools • Familiarity of ML/AI technologies Key Competencies • Strong analytical and troubleshooting skills • Excellent written and verbal communication abilities • Customer-focused mindset • Ability to work independently and collaboratively • Commitment to continuous learning and technical growth Why Join OPC, GTC, and GSOC? • Work on impactful, mission-critical enterprise systems • Contribute to modernization and cloud transformation initiatives • Grow your technical leadership capabilities • Be part of a collaborative, innovation-driven IT organization
permanent
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 Back-End Engineer (Golang)
🏢 Jobot
Salary not disclosed
Senior Back-End Engineer (Golang) – Strong Equity, Excellent Benefits, HealthTech Startup This Jobot Job is hosted by: Patrick Murphy Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $180,000
- $225,000 per year A bit about us: We’re partnering with a fast-growing digital health startup that’s transforming how patients and caregivers navigate complex medical journeys.
Founded and led by individuals who’ve lived through those experiences firsthand alongside veteran technologists, oncologists, and healthcare innovators, this team combines heart and technical excellence.
They’re backed by top-tier venture capital and already generating revenue from major industry partnerships.
If you’re looking for meaningful work that blends cutting-edge tech with real human impact, this is one to take seriously.
Why join us? Compensation & Perks: $180K–$225K base salary (depending on experience).
Equity and comprehensive health benefits.
Hybrid schedule (2 days/week onsite in San Francisco’s Financial District).
Unlimited PTO and flexible work culture.
High-impact role as the first in-house backend engineer — immediate ownership and growth path.
Job Details About the Role The team is building out its core engineering group in San Francisco and hiring a Senior Back-End Engineer (Golang) to take ownership of their existing backend systems and drive them to production readiness.
You’ll be the first in-house backend hire, giving you both immediate technical impact and long-term leadership potential as the team scales.
What You’ll Do: Take ownership of an existing Golang codebase and evolve it toward production scalability.
Architect, manage, and optimize cloud infrastructure (AWS) using Infrastructure-as-Code.
Build and refine CI/CD pipelines and deployment automation.
Design and develop APIs and backend features that directly affect users’ health journeys.
Collaborate closely with engineering leadership and product teams to shape technical direction.
Champion reliability, performance, and code quality across the backend stack.
What We’re Looking For: 5+ years of professional experience, including 3+ years with Golang.
Hands-on experience with RESTful APIs and Infrastructure-as-Code (Terraform, CloudFormation, or Pulumi).
Strong background in cloud infrastructure (AWS, GCP, or Azure) and CI/CD (Docker, GitHub Actions, etc.).
Proven success taking products from development to production.
Bonus points for: microservices, Kubernetes, healthcare or data privacy experience (HIPAA), and startup environments.
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: $180,000
- $225,000 per year A bit about us: We’re partnering with a fast-growing digital health startup that’s transforming how patients and caregivers navigate complex medical journeys.
Founded and led by individuals who’ve lived through those experiences firsthand alongside veteran technologists, oncologists, and healthcare innovators, this team combines heart and technical excellence.
They’re backed by top-tier venture capital and already generating revenue from major industry partnerships.
If you’re looking for meaningful work that blends cutting-edge tech with real human impact, this is one to take seriously.
Why join us? Compensation & Perks: $180K–$225K base salary (depending on experience).
Equity and comprehensive health benefits.
Hybrid schedule (2 days/week onsite in San Francisco’s Financial District).
Unlimited PTO and flexible work culture.
High-impact role as the first in-house backend engineer — immediate ownership and growth path.
Job Details About the Role The team is building out its core engineering group in San Francisco and hiring a Senior Back-End Engineer (Golang) to take ownership of their existing backend systems and drive them to production readiness.
You’ll be the first in-house backend hire, giving you both immediate technical impact and long-term leadership potential as the team scales.
What You’ll Do: Take ownership of an existing Golang codebase and evolve it toward production scalability.
Architect, manage, and optimize cloud infrastructure (AWS) using Infrastructure-as-Code.
Build and refine CI/CD pipelines and deployment automation.
Design and develop APIs and backend features that directly affect users’ health journeys.
Collaborate closely with engineering leadership and product teams to shape technical direction.
Champion reliability, performance, and code quality across the backend stack.
What We’re Looking For: 5+ years of professional experience, including 3+ years with Golang.
Hands-on experience with RESTful APIs and Infrastructure-as-Code (Terraform, CloudFormation, or Pulumi).
Strong background in cloud infrastructure (AWS, GCP, or Azure) and CI/CD (Docker, GitHub Actions, etc.).
Proven success taking products from development to production.
Bonus points for: microservices, Kubernetes, healthcare or data privacy experience (HIPAA), and startup environments.
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
jobs by
