Zipline Github Jobs in Usa
201 positions found — Page 16
I
Artificial Intelligence Engineer
Salary not disclosed
6 Month Contract to Hire
Onsite 3 days/week – Hartford, CT
$55/hr-$65/hr
Must‑Have Qualifications
- Strong experience as a full stack developer delivering complex, enterprise‑scale applications
- Hands‑on experience designing and implementing conversational AI solutions using IBM WatsonX Orchestrate or similar platforms (Dialogflow CX, Amazon Lex, , LivePerson)
- Proficiency in NodeJS/TypeScript and Java with Spring, building RESTful web services
- Solid understanding of scalable architecture patterns, data lifecycle management, and cloud‑native development
- Experience developing and deploying microservices on OpenShift or comparable container platforms
- Strong Agile experience, including breaking down user stories into tasks and estimating work within a SAFe delivery model
- Strong collaboration and communication skills across co‑located, cross‑functional teams
Nice‑to‑Have Qualifications
- Experience with Angular, React, HTML, CSS, JSP, or Python
- Familiarity with Speech‑to‑Text tuning and SSML for text‑to‑speech refinement
- Exposure to analytics and data platforms such as Tableau, Alation, DataRobot, or Trifacta
- Experience with CI/CD pipelines using tools such as Jenkins, GitHub, or Octopus
- Strong business acumen and interest in emerging AI and conversational technologies
Day‑to‑Day
In this role, you will design, build, test, and deploy conversational AI solutions that deliver accurate, scalable, and context‑aware chatbot and voice experiences. You will participate in feature and user story refinement sessions, translate requirements into technical implementations, and develop conversational flows that integrate with enterprise APIs, cloud functions, and backend systems. You will collaborate closely with product managers, UI/UX designers, backend engineers, and other developers to ensure seamless end‑to‑end delivery. On a daily basis, you will troubleshoot, debug, tune, and optimize conversational agents across multiple channels, apply clean coding standards, and continuously improve conversational accuracy using NLP and training data best practices.
Not Specified
W
Senior Cloud Platform Engineer
Salary not disclosed
Our Ideal Candidate
We are seeking an experienced cloud and DevOps engineer with over 5 years of experience designing, automating, and maintaining scalable AWS infrastructure, CI/CD pipelines, and secure cloud environments. In the role of Senior Cloud Platform Engineer, you should demonstrate expertise in Infrastructure as Code, scripting, containerization, and modern monitoring or alerting platforms, as well as strong skills working across teams. Success in this position requires a talent for optimizing cloud resources, ensuring security and compliance, and facilitating fast, reliable software deployments. Having experience with HIPAA-compliant systems, .NET platforms, or serverless computing is considered a significant advantage.
Responsibilities
- Design, implement, and maintain CI/CD pipelines using tools like AWS CDK, AWS CodePipeline, or GitHub Actions.
- Manage infrastructure as code (IaC) using Terraform, CloudFormation, or similar tools.
- Monitor system performance and availability using tools like CloudWatch, Prometheus, Grafana, or Datadog.
- Automate repetitive tasks and deployment processes to improve team efficiency.
- Collaborate with software engineers, QA, and product teams to ensure smooth deployments and rapid iteration.
- Implement and enforce security best practices and compliance across infrastructure and deployment pipelines.
- Identify optimizations to reduce cloud resource usage across AWS accounts.
- Maintain documentation for infrastructure, processes, and compliance requirements.
- Work with multiple teams to implement their deployments using common practices.
- Manage Builds and the corresponding documentation
- Monitor package versions, track EOL dates, and upgrade to keep infrastructure current
Qualifications
- B.S. Computer Science degree or equivalent experience.
- 5+ years of experience in DevOps, Site Reliability Engineering, or related roles.
- 2+ years of hands-on AWS Experience
- Strong experience with cloud platforms (AWS, Azure, or GCP).
- Proficiency in scripting languages such as Bash, Python, or PowerShell.
- Experience with containerization and orchestration (Docker, Kubernetes).
- Familiarity with monitoring, logging, and alerting tools.
- Solid understanding of networking, security, and system administration.
- Strong communication skills and ability to work cross-functionally.
Not Specified
B
Front-End Web Developer
Salary not disclosed
About Arcticom, LLC Offering a broad range of information technology solutions, Arcticom, LLC provides network and systems administration, enterprise architecture and resource planning, certification and accreditation, software design, programming, maintenance of telecommunications and land mobile radio equipment and systems, help desk support and IT transformation services among other services.
Arcticom offers impressive performance that is routinely recognized with exceptional ratings and commendations tied to installation successes.
Satisfied Bering Straits Native Corporation (BSNC) family customers include the U.S.
Air Force, Army, Navy, Coast Guard, the Departments of State, Justice, Commerce, Agriculture, Interior, Homeland Security, the General Services Administration, the Defense Logistics Agency and the U.S Census Bureau.
About this position: Front-End Web Developer in Suitland, MD The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job.
Other duties may be assigned.
To perform this job successfully, an individual must be able to satisfactorily perform each essential duty.
The requirements listed below are representative of the knowledge, skill and/or ability required.
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position.
Applicants will be notified via email or phone within ten business days regarding application status.
Essential Duties & Responsibilities Developing and maintaining web applications using JavaScript-based frameworks, particularly Angular (including Angular Material UI).
While primarily a front-end role, some experience with server-side frameworks, particularly Java and JSP, is preferred as you'll occasionally overlap and back up our Senior Java Developer.
Designing applications and refactoring code for optimal design, performance, modularization, and to eliminate redundancies.
Commitment to code security and integrity, utilizing tools like GitHub code scanning and CodeQL to identify and remediate vulnerabilities.
Required (Minimum Necessary) Qualifications Education Requirements: A bachelor’s degree is required Level of Experience Requirements: -5 years of experience in Front-End Web Development Ability to work independently with minimal oversight.
Knowledge, Skills, Abilities, and Other Characteristics Strong experience developing and maintaining web applications using JavaScript-based frameworks, particularly Angular (including Angular Material UI).
Familiarity with other frameworks, such as React and Vue, is a plus.
Experience with Docker (or similar) for local development, testing, and deployment to various application environments.
Experience developing and maintaining applications in cloud environments, whether on Virtual Machines (VMs) or in containerized clusters.
Experience with DevOps best practices, including: Writing and maintaining code using GitHub, including familiarity with branching strategies (e.g., GitFlow), release management, rebasing, and maintaining clean commit history.
Working with CI/CD pipelines (Jenkins or GitHub Actions) to create and maintain automated build and deployment processes Solid understanding of JavaScript, HTML, CSS, jQuery, and Bootstrap.
Experience with service-oriented architecture and microservices, especially working with RESTful API services.
You'll architect applications and refactor code for optimal design, performance, modularization, and to eliminate redundancies.
Familiarity with Node.js applications and managing packages using npm.
• Knowledge of organizational procedures and workflows – understanding how work moves through a company.
• Basic knowledge of relevant technologies or tools – e.g., Microsoft 365, communication platforms, or industry‑standard software.
• Knowledge of customer service practices – principles of providing quality service and managing inquiries professionally.
• Knowledge of data privacy and confidentiality principles – awareness of proper handling of sensitive information.
• Communication skills (written and verbal) – ability to convey information clearly and professionally.
• Time management and prioritization – balancing multiple tasks and meeting deadlines.
• Problem‑solving and critical thinking – analyzing issues and selecting appropriate solutions.
• Interpersonal and teamwork skills – building rapport and collaborating effectively with others.
• Attention to detail – producing accurate, error‑free work.
Preferred Experience in a Cloud environment, specifically AWS.
Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role.
Employees must always maintain a constant state of mental alertness.
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
Essential and marginal functions may require maintaining physical condition necessary for bending, stooping, sitting, walking or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about.
Work Environment The work environmental characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of the role.
Employees must always maintain a constant state of situational awareness.
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
The job is performed in an office setting with exposure to computer screens and requires extensive use of a computer, keyboard, mouse, and multi-line telephone system.
The work described herein is primarily in a modern office setting.
Occasional travel may be required.
Supervisory Responsibilities • This position will not have supervisory responsibilities.
DOT Covered/Safety-Sensitive Role Requirements • This position is not subject to federal requirements regarding Department of Transportation “safety-sensitive” functions.
Additional Qualifying Factors As a condition of employment, you will be required to pass a pre-employment drug screening and have acceptable background check results.
If applicable to the contract, you must also obtain and maintain the appropriate clearance levels required and must also be able to obtain access to military installations.
Shareholder Preference BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job.
Bering Straits Native Corporation is an equal opportunity employer.
All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.
Arcticom offers impressive performance that is routinely recognized with exceptional ratings and commendations tied to installation successes.
Satisfied Bering Straits Native Corporation (BSNC) family customers include the U.S.
Air Force, Army, Navy, Coast Guard, the Departments of State, Justice, Commerce, Agriculture, Interior, Homeland Security, the General Services Administration, the Defense Logistics Agency and the U.S Census Bureau.
About this position: Front-End Web Developer in Suitland, MD The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job.
Other duties may be assigned.
To perform this job successfully, an individual must be able to satisfactorily perform each essential duty.
The requirements listed below are representative of the knowledge, skill and/or ability required.
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position.
Applicants will be notified via email or phone within ten business days regarding application status.
Essential Duties & Responsibilities Developing and maintaining web applications using JavaScript-based frameworks, particularly Angular (including Angular Material UI).
While primarily a front-end role, some experience with server-side frameworks, particularly Java and JSP, is preferred as you'll occasionally overlap and back up our Senior Java Developer.
Designing applications and refactoring code for optimal design, performance, modularization, and to eliminate redundancies.
Commitment to code security and integrity, utilizing tools like GitHub code scanning and CodeQL to identify and remediate vulnerabilities.
Required (Minimum Necessary) Qualifications Education Requirements: A bachelor’s degree is required Level of Experience Requirements: -5 years of experience in Front-End Web Development Ability to work independently with minimal oversight.
Knowledge, Skills, Abilities, and Other Characteristics Strong experience developing and maintaining web applications using JavaScript-based frameworks, particularly Angular (including Angular Material UI).
Familiarity with other frameworks, such as React and Vue, is a plus.
Experience with Docker (or similar) for local development, testing, and deployment to various application environments.
Experience developing and maintaining applications in cloud environments, whether on Virtual Machines (VMs) or in containerized clusters.
Experience with DevOps best practices, including: Writing and maintaining code using GitHub, including familiarity with branching strategies (e.g., GitFlow), release management, rebasing, and maintaining clean commit history.
Working with CI/CD pipelines (Jenkins or GitHub Actions) to create and maintain automated build and deployment processes Solid understanding of JavaScript, HTML, CSS, jQuery, and Bootstrap.
Experience with service-oriented architecture and microservices, especially working with RESTful API services.
You'll architect applications and refactor code for optimal design, performance, modularization, and to eliminate redundancies.
Familiarity with Node.js applications and managing packages using npm.
• Knowledge of organizational procedures and workflows – understanding how work moves through a company.
• Basic knowledge of relevant technologies or tools – e.g., Microsoft 365, communication platforms, or industry‑standard software.
• Knowledge of customer service practices – principles of providing quality service and managing inquiries professionally.
• Knowledge of data privacy and confidentiality principles – awareness of proper handling of sensitive information.
• Communication skills (written and verbal) – ability to convey information clearly and professionally.
• Time management and prioritization – balancing multiple tasks and meeting deadlines.
• Problem‑solving and critical thinking – analyzing issues and selecting appropriate solutions.
• Interpersonal and teamwork skills – building rapport and collaborating effectively with others.
• Attention to detail – producing accurate, error‑free work.
Preferred Experience in a Cloud environment, specifically AWS.
Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role.
Employees must always maintain a constant state of mental alertness.
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
Essential and marginal functions may require maintaining physical condition necessary for bending, stooping, sitting, walking or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about.
Work Environment The work environmental characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of the role.
Employees must always maintain a constant state of situational awareness.
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
The job is performed in an office setting with exposure to computer screens and requires extensive use of a computer, keyboard, mouse, and multi-line telephone system.
The work described herein is primarily in a modern office setting.
Occasional travel may be required.
Supervisory Responsibilities • This position will not have supervisory responsibilities.
DOT Covered/Safety-Sensitive Role Requirements • This position is not subject to federal requirements regarding Department of Transportation “safety-sensitive” functions.
Additional Qualifying Factors As a condition of employment, you will be required to pass a pre-employment drug screening and have acceptable background check results.
If applicable to the contract, you must also obtain and maintain the appropriate clearance levels required and must also be able to obtain access to military installations.
Shareholder Preference BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job.
Bering Straits Native Corporation is an equal opportunity employer.
All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.
Not Specified
C
Java Solution Architect
🏢 Coforge
Salary not disclosed
Role: Java Solution engineer Architect
Skills: Core Java, Azure (Public Cloud), AI-assisted development tools (GitHub Copilot, etc.)
Experience: 15 + Years
Location: Chicago
We are seeking a highly skilled and experienced Java Solution engineer Architect who brings more than traditional development capability—someone with a core engineering mindset, strong independent problem‑solving skills, and the ability to influence and uplevel an existing team. This role is central to our transformation journey to modernize legacy systems and move toward an autopilot engineering model. The ideal candidate is not an “order-taker” but a Better Engineer—someone who can diagnose issues, architect solutions, and drive modernization without needing step-by-step direction.
Job Description:
Tech Stack: Core Java, Azure (Public Cloud), AI-assisted development tools (GitHub Copilot, etc.)
Transformation & Coaching
- Assessment & Roadmap Creation:
- Evaluate the current technology landscape, identify gaps, and shape the transformation roadmap for modernization.
- Culture Change Agent:
- Break entrenched “comfort zone” patterns across a team with 10+ year legacy experience.
- Mentor team members and interns on modern engineering practices, automation-first thinking, and cloud-native principles.
- AI Adoption Leader:
- Promote and operationalize the use of GitHub Copilot and other AI tools for:
- Unit test generation
- Code reviews & optimization
- Issue impact diagnosis
- Development efficiency
Technical Leadership & Delivery
- Self-Sufficient Execution:
- Build systems independently without needing detailed “how-to” instructions. Should naturally handle engineering essentials such as timeouts, retries, dead letter queues, error handling, and resiliency patterns.
- Hands-on Development:
- Write high‑quality Java code while enhancing CI/CD pipelines, improving automated testing, and increasing code coverage.
- Cloud & Infrastructure Ownership:
- Drive Azure-related engineering tasks including IAM, horizontal/vertical scaling, monitoring, and Infrastructure-as-Code (Terraform).
- Operate with a philosophy of application teams owning their infrastructure.
Operational Excellence
- Documentation & Knowledge Sharing:
- Transition knowledge from individuals to scalable, documented, and automated processes; establish best practices and engineering playbooks.
- Resiliency & Scalability Engineering:
- Architect broadly stable systems that minimize production issues and increase platform reliability.
Not Specified
D
Mobile DevOps Engineer
Salary not disclosed
DivIHN (pronounced “divine”) is a CMMI ML3-certified Technology and Talent solutions firm.
Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations.
Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent.
Visit us at to learn more and view our open positions.
Please apply or call one of us to learn more For further inquiries about this opportunity, please contact our Talent Specialist, Lavanya at (224) 369 0873 .
Title: Mobile DevOps Engineer Duration: 6 Months (with possibility to convert Full-Time Based on Performance) Location: On-site at Sylmar, CA Only W2 candidates are eligible for this position.
Third-party or C2C candidates will not be considered.
Job Description About the Role We are seeking a highly skilled Mobile DevOps Engineer who can bridge development and operations for mobile platforms.
A Mobile DevOps / Mobile Platform Engineer to support a mobile patient application connected with Bluetooth-enabled pacemaker technology.
The ideal candidate will have deep expertise in Android and iOS deployment, CI/CD automation, mobile device management, and Microsoft mobile technologies, along with strong coding fundamentals and DevOps best practices.
The person in this role will mainly handle mobile deployments, Apple ecosystem management, and CI/CD pipeline support.
Looking for someone who is responsible, hands-on, and able to manage tasks independently.
Looking for purely mobile platform experience Key Responsibilities Design, implement, and maintain CI/CD pipelines for Android and iOS apps using tools like Jenkins, Bitrise, Fastlane, or GitHub Actions.
Manage mobile deployments via AirWatch, MTX, and other MDM solutions.
Automate build, test, and release processes for mobile applications.
Implement infrastructure as code and configuration management for mobile environments.
Collaborate with developers, QA, and security teams to ensure smooth releases.
Monitor and optimize build systems, deployment pipelines, and app performance.
Ensure compliance with security and privacy standards during deployments.
Troubleshoot and resolve issues across build, deployment, and runtime environments, and perform routine checks across Apple and Android environments Manage mobile application deployments to Apple App Store and Google Play Store.
Support global releases across multiple regions.
Manage Apple Developer Portal and Apple Business Manager accounts.
Track and renew Apple certificates and provisioning profiles to avoid downtime.
Support mobile device management (MDM) activities such as device enrollment, app deployments, certificate updates, and configuration changes.
Work independently and take ownership of tasks from start to finish.
Required Skills and Qualifications 5 years in DevOps or Mobile DevOps roles.
Strong experience with Android and iOS deployment workflows.
Expertise in CI/CD tools (Jenkins, GitHub Actions, Bitrise, Fastlane).
Hands-on experience with AirWatch, MTX, or similar MDM platforms.
Solid coding and scripting skills (e.g., Python, Bash, Groovy).
Proficiency in C# and understanding of unit testing frameworks (e.g., NUnit, xUnit).
Experience working with .NET, MAUI, and other Microsoft mobile solutions.
Familiarity with version control systems (Git) and branching strategies.
Knowledge of containerization (Docker) and orchestration (Kubernetes).
Experience with cloud platforms (AWS, Azure, GCP) for mobile backend integration.
Understanding of security best practices for mobile deployments.
Strong troubleshooting and problem-solving skills.
Strong hands-on experience with Apple Developer Portal / Apple Business Manager.
Experience supporting mobile application build and deployment pipelines.
Preferred Skills Experience with monitoring tools (Datadog, New Relic, Firebase Crashlytics).
Familiarity with artifact management (Nexus, Artifactory).
Knowledge of mobile app signing, provisioning profiles, and certificate management.
Exposure to automated testing frameworks for mobile (Appium, XCTest, Espresso).
Ability to work in Agile/Scrum environments.
Experience with CI/CD pipelines for mobile applications.
Familiarity with enterprise mobility environments.
Interview: Onsite Interview required.
Relocation is acceptable, but candidates must be able to attend the 2nd round interview onsite.
About us: DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond.
The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.
DivIHN is an equal opportunity employer.
DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.
CI/CD tools, scripting skills, Mobile DevOps
Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations.
Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent.
Visit us at to learn more and view our open positions.
Please apply or call one of us to learn more For further inquiries about this opportunity, please contact our Talent Specialist, Lavanya at (224) 369 0873 .
Title: Mobile DevOps Engineer Duration: 6 Months (with possibility to convert Full-Time Based on Performance) Location: On-site at Sylmar, CA Only W2 candidates are eligible for this position.
Third-party or C2C candidates will not be considered.
Job Description About the Role We are seeking a highly skilled Mobile DevOps Engineer who can bridge development and operations for mobile platforms.
A Mobile DevOps / Mobile Platform Engineer to support a mobile patient application connected with Bluetooth-enabled pacemaker technology.
The ideal candidate will have deep expertise in Android and iOS deployment, CI/CD automation, mobile device management, and Microsoft mobile technologies, along with strong coding fundamentals and DevOps best practices.
The person in this role will mainly handle mobile deployments, Apple ecosystem management, and CI/CD pipeline support.
Looking for someone who is responsible, hands-on, and able to manage tasks independently.
Looking for purely mobile platform experience Key Responsibilities Design, implement, and maintain CI/CD pipelines for Android and iOS apps using tools like Jenkins, Bitrise, Fastlane, or GitHub Actions.
Manage mobile deployments via AirWatch, MTX, and other MDM solutions.
Automate build, test, and release processes for mobile applications.
Implement infrastructure as code and configuration management for mobile environments.
Collaborate with developers, QA, and security teams to ensure smooth releases.
Monitor and optimize build systems, deployment pipelines, and app performance.
Ensure compliance with security and privacy standards during deployments.
Troubleshoot and resolve issues across build, deployment, and runtime environments, and perform routine checks across Apple and Android environments Manage mobile application deployments to Apple App Store and Google Play Store.
Support global releases across multiple regions.
Manage Apple Developer Portal and Apple Business Manager accounts.
Track and renew Apple certificates and provisioning profiles to avoid downtime.
Support mobile device management (MDM) activities such as device enrollment, app deployments, certificate updates, and configuration changes.
Work independently and take ownership of tasks from start to finish.
Required Skills and Qualifications 5 years in DevOps or Mobile DevOps roles.
Strong experience with Android and iOS deployment workflows.
Expertise in CI/CD tools (Jenkins, GitHub Actions, Bitrise, Fastlane).
Hands-on experience with AirWatch, MTX, or similar MDM platforms.
Solid coding and scripting skills (e.g., Python, Bash, Groovy).
Proficiency in C# and understanding of unit testing frameworks (e.g., NUnit, xUnit).
Experience working with .NET, MAUI, and other Microsoft mobile solutions.
Familiarity with version control systems (Git) and branching strategies.
Knowledge of containerization (Docker) and orchestration (Kubernetes).
Experience with cloud platforms (AWS, Azure, GCP) for mobile backend integration.
Understanding of security best practices for mobile deployments.
Strong troubleshooting and problem-solving skills.
Strong hands-on experience with Apple Developer Portal / Apple Business Manager.
Experience supporting mobile application build and deployment pipelines.
Preferred Skills Experience with monitoring tools (Datadog, New Relic, Firebase Crashlytics).
Familiarity with artifact management (Nexus, Artifactory).
Knowledge of mobile app signing, provisioning profiles, and certificate management.
Exposure to automated testing frameworks for mobile (Appium, XCTest, Espresso).
Ability to work in Agile/Scrum environments.
Experience with CI/CD pipelines for mobile applications.
Familiarity with enterprise mobility environments.
Interview: Onsite Interview required.
Relocation is acceptable, but candidates must be able to attend the 2nd round interview onsite.
About us: DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond.
The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.
DivIHN is an equal opportunity employer.
DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.
CI/CD tools, scripting skills, Mobile DevOps
Not Specified
J
AI Engineering Lead
🏢 Jobot
Salary not disclosed
Hybrid, Competitive Salary, Excellent Benefits, Bonus Potential, 401k, and More! This Jobot Job is hosted by: Sierra Johnson Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000
- $175,000 per year A bit about us: Based in Orange County, we are a retail technology company filled with talented people relentlessly driven to revolutionize the online shopping experience.
We are the fastest growing Brand Integrity, Where-to-Buy and data services innovator, providing unmatched insights into online consumer purchasing behaviors around the globe.
We are looking for an Engineering Team Lead with strong infrastructure skills, and deep expertise in big data, and AI/ML experience.
Why join us? Hybrid/Remote Schedule Free Food and Snacks! Relaxed Dress Code! Accelerated Career Growth! Job Details We are on the hunt for a dynamic AI Engineering Team Lead who can lead a team of Engineers to design and implement cutting-edge AI solutions.
This role will be pivotal in shaping the technical strategy for AI/ML and data processing initiatives.
The ideal candidate will have a strong background in AI/ML development and large-scale data processing systems.
This is a permanent position in our technology department, where you will work closely with our data scientists and engineers to develop and deploy advanced AI models and data-driven solutions.
Responsibilities: 1.
Lead a team of AI engineers to design and implement innovative AI/ML solutions.
2.
Develop a technical strategy for AI/ML and data processing initiatives.
3.
Design and build large-scale data processing systems.
4.
Use TensorFlow, PyTorch, and langChain for AI/ML development.
5.
Design data processing systems and work with data transformation tools, automated data pipelines, and backend services.
6.
Develop software using Node.js, React, TypeScript, GraphQL, GitHub, AWS, and cloud infrastructure automation tools.
7.
Work with GCP BigQuery, Spark, Databricks, and Snowflake for big data processing.
8.
Manage software projects from inception to deployment, ensuring timely delivery and quality.
9.
Collaborate with other teams and stakeholders to understand their needs and translate them into technical requirements.
10.
Stay up-to-date with the latest advancements in AI/ML and data processing technologies and methodologies.
Qualifications: 1.
5+ years of experience in AI/ML development.
2.
5+ years of experience in big data processing.
3.
2+ years of experience in a leadership role.
4.
Proficiency with TensorFlow, PyTorch, and langChain.
5.
Experience with large-scale data processing systems design.
6.
Experience with data transformation tools, automated data pipelines, and backend services.
7.
Proficiency with Node.js, React, TypeScript, GraphQL, GitHub, AWS, and cloud infrastructure automation tools.
8.
Experience with GCP BigQuery, Spark, Databricks, and Snowflake.
9.
Strong background in software development, Software Engineering, and Software Project Management.
10.
Excellent leadership and team management skills.
11.
Strong problem-solving skills and the ability to think strategically.
12.
Excellent communication and interpersonal skills.
13.
Bachelor's degree in Computer Science, Engineering, or a related field.
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.
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Salary: $150,000
- $175,000 per year A bit about us: Based in Orange County, we are a retail technology company filled with talented people relentlessly driven to revolutionize the online shopping experience.
We are the fastest growing Brand Integrity, Where-to-Buy and data services innovator, providing unmatched insights into online consumer purchasing behaviors around the globe.
We are looking for an Engineering Team Lead with strong infrastructure skills, and deep expertise in big data, and AI/ML experience.
Why join us? Hybrid/Remote Schedule Free Food and Snacks! Relaxed Dress Code! Accelerated Career Growth! Job Details We are on the hunt for a dynamic AI Engineering Team Lead who can lead a team of Engineers to design and implement cutting-edge AI solutions.
This role will be pivotal in shaping the technical strategy for AI/ML and data processing initiatives.
The ideal candidate will have a strong background in AI/ML development and large-scale data processing systems.
This is a permanent position in our technology department, where you will work closely with our data scientists and engineers to develop and deploy advanced AI models and data-driven solutions.
Responsibilities: 1.
Lead a team of AI engineers to design and implement innovative AI/ML solutions.
2.
Develop a technical strategy for AI/ML and data processing initiatives.
3.
Design and build large-scale data processing systems.
4.
Use TensorFlow, PyTorch, and langChain for AI/ML development.
5.
Design data processing systems and work with data transformation tools, automated data pipelines, and backend services.
6.
Develop software using Node.js, React, TypeScript, GraphQL, GitHub, AWS, and cloud infrastructure automation tools.
7.
Work with GCP BigQuery, Spark, Databricks, and Snowflake for big data processing.
8.
Manage software projects from inception to deployment, ensuring timely delivery and quality.
9.
Collaborate with other teams and stakeholders to understand their needs and translate them into technical requirements.
10.
Stay up-to-date with the latest advancements in AI/ML and data processing technologies and methodologies.
Qualifications: 1.
5+ years of experience in AI/ML development.
2.
5+ years of experience in big data processing.
3.
2+ years of experience in a leadership role.
4.
Proficiency with TensorFlow, PyTorch, and langChain.
5.
Experience with large-scale data processing systems design.
6.
Experience with data transformation tools, automated data pipelines, and backend services.
7.
Proficiency with Node.js, React, TypeScript, GraphQL, GitHub, AWS, and cloud infrastructure automation tools.
8.
Experience with GCP BigQuery, Spark, Databricks, and Snowflake.
9.
Strong background in software development, Software Engineering, and Software Project Management.
10.
Excellent leadership and team management skills.
11.
Strong problem-solving skills and the ability to think strategically.
12.
Excellent communication and interpersonal skills.
13.
Bachelor's degree in Computer Science, Engineering, or a related field.
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
Full Stack Developer (Hybrid)
Salary not disclosed
Title: Programmer Analyst VI – Full Stack Developer Location: Lansing, MI (Hybrid) Note: This is a W2 contract role – C2C, 1099, & 3 rd party candidates WILL NOT be considered This Programmer Analyst position will act as a Senior Developer in a hybrid waterfall/agile environment on a small development team to write and test code to implement the user stories and requirements for the Long Term Care Reimbursement project.
Resources filling this position must have at least 5 recent years’ experience working with Angular, C# .Net, JavaScript, SSRS, SQL Server, and working in an environment utilizing hybrid agile/waterfall project management methodologies.
Position Duties: · Design, develop, and maintain applications using C#.Net and Angular · Write user acceptance test plans, creating required test data and assisting users with running tests · Participate in requirements gathering session to document scoping, definition, analysis, business design, and technical design phases · Coordinate application development and scheduling interfaces with cross-functional teams · Assist with debugging complex coding issues · Author technical standards, choose technology, and create technical solutions · Develop and maintain SSRS reports · Participate in artifact reviews with peers, system specialists, Enterprise Security, and other entities to ensure IT solutions and applications adhere agency policies, standards, and guidelines · Coordinate with security resources to ensure systems are properly designed according to agency security requirements and standards · Participate in Solutions Design Team (SDT) meetings and assist in the creation of Enterprise Architecture Solution Assessments (EASA), infrastructure Service Requests (ISR), hosting documents, and firewall rules, as needed · Develop database objects, including stored procedures, functions, triggers, and packages using SQL and PL/SQL · Troubleshoot issues using SQL, PL/SQL scripts · Ensure proper change management is followed and documented for all changes to system designs and prod changes · Develop training content and facilitate training · Actively participate in the development and implementation of assigned client agency’s strategic direction/plan · Serve as technical resource to the Project Manager and liaison to the PMO to assist with resolving project issues Position Qualifications: · 10+ years of experience of developing complex systems using C#/.NET and Java (Eclipse IDE) · 10+ years of advanced experience in SQL and PL/SQL development · 8+ years of programming experience using JavaScript, SSRS, and Microsoft SQL Server · 7+ years of experience working with GIT code repository software and 5+ years of experience working with GIT for version control and source code management · 5+ years of hands-on experience developing web applications using Angular and modern JavaScript frameworks · 5+ years of recent experience writing, compiling, modifying, and debugging complex SQL Server database configuration items, including Stored Procedures, Functions, Triggers, Views, Tables, and linked servers · 5+ years of experience using Azure DevOps (ADO) for backlog management, sprint planning, task tracking, and Agile progress reporting · 5+ years of experience developing and executing unit and regression tests to ensure application reliability and stability · 2+ years of experience with React.js and modern JavaScript (ES6+) · Strong experience developing secure web applications, implementing industry best practices to prevent vulnerabilities such as cross-site scripting(XSS) and SQL injection, including secure logging practices · Exposure to DevOps practices and cloud platforms, including AWS and Microsoft Azure · Hands-on experience Integrating software components into a fully functional software system · Hands-on experience using GitHub Copilot to accelerate daily coding tasks, including code generation, refactoring, and documentation; proven ability to integrate GitHub Copilot into development workflows to enhance productivity, code quality, and team collaboration · A minimum of a Bachelor’s Degree in Information Technology or other relevant field Note: This is a W2 contract role – C2C, 1099, & 3 rd party candidates WILL NOT be considered .
Remote working/work at home options are available for this role.
Resources filling this position must have at least 5 recent years’ experience working with Angular, C# .Net, JavaScript, SSRS, SQL Server, and working in an environment utilizing hybrid agile/waterfall project management methodologies.
Position Duties: · Design, develop, and maintain applications using C#.Net and Angular · Write user acceptance test plans, creating required test data and assisting users with running tests · Participate in requirements gathering session to document scoping, definition, analysis, business design, and technical design phases · Coordinate application development and scheduling interfaces with cross-functional teams · Assist with debugging complex coding issues · Author technical standards, choose technology, and create technical solutions · Develop and maintain SSRS reports · Participate in artifact reviews with peers, system specialists, Enterprise Security, and other entities to ensure IT solutions and applications adhere agency policies, standards, and guidelines · Coordinate with security resources to ensure systems are properly designed according to agency security requirements and standards · Participate in Solutions Design Team (SDT) meetings and assist in the creation of Enterprise Architecture Solution Assessments (EASA), infrastructure Service Requests (ISR), hosting documents, and firewall rules, as needed · Develop database objects, including stored procedures, functions, triggers, and packages using SQL and PL/SQL · Troubleshoot issues using SQL, PL/SQL scripts · Ensure proper change management is followed and documented for all changes to system designs and prod changes · Develop training content and facilitate training · Actively participate in the development and implementation of assigned client agency’s strategic direction/plan · Serve as technical resource to the Project Manager and liaison to the PMO to assist with resolving project issues Position Qualifications: · 10+ years of experience of developing complex systems using C#/.NET and Java (Eclipse IDE) · 10+ years of advanced experience in SQL and PL/SQL development · 8+ years of programming experience using JavaScript, SSRS, and Microsoft SQL Server · 7+ years of experience working with GIT code repository software and 5+ years of experience working with GIT for version control and source code management · 5+ years of hands-on experience developing web applications using Angular and modern JavaScript frameworks · 5+ years of recent experience writing, compiling, modifying, and debugging complex SQL Server database configuration items, including Stored Procedures, Functions, Triggers, Views, Tables, and linked servers · 5+ years of experience using Azure DevOps (ADO) for backlog management, sprint planning, task tracking, and Agile progress reporting · 5+ years of experience developing and executing unit and regression tests to ensure application reliability and stability · 2+ years of experience with React.js and modern JavaScript (ES6+) · Strong experience developing secure web applications, implementing industry best practices to prevent vulnerabilities such as cross-site scripting(XSS) and SQL injection, including secure logging practices · Exposure to DevOps practices and cloud platforms, including AWS and Microsoft Azure · Hands-on experience Integrating software components into a fully functional software system · Hands-on experience using GitHub Copilot to accelerate daily coding tasks, including code generation, refactoring, and documentation; proven ability to integrate GitHub Copilot into development workflows to enhance productivity, code quality, and team collaboration · A minimum of a Bachelor’s Degree in Information Technology or other relevant field Note: This is a W2 contract role – C2C, 1099, & 3 rd party candidates WILL NOT be considered .
Remote working/work at home options are available for this role.
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
Machine Learning Engineer
🏢 Jobot
Salary not disclosed
Machine Learning Engineer
- Fulltime/Permanent REMOTE position This Jobot Job is hosted by: Dallas Gillespie 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: Full-time, fully remote position with excellent benefits Candidates must live in the PST or MDT time zones.
CST zone candidates will be considered.
EST Candidates are not eligible.
Why join us? We value you! Our impressive benefits package, bonus potential, and salary reflect that! Work somewhere you are recognized for your contributions! Apply Today! Job Details Minimum Education: Bachelor’s degree in computer science, artificial intelligence, informatics or closely related field.
Master’s degree in computer science, engineering or closely related field preferred.
Minimum Experience: 3 or more years of relevant Machine Learning Engineer Experience.
Proven experience with: Artificial intelligence and machine learning platforms (e.g., AWS, Azure or GCP).
Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes).
CI/CD tools (e.g., Github Actions).
Programming languages and frameworks (e.g., Python, R, SQL).
MLOps engineering principles, agile methodologies, and DevOps life-cycle management.
Technical writing and documentation for AI/ML models and processes.
Healthcare data and machine learning use cases.
Healthcare Expertise: Understanding of healthcare regulations and standards, and familiarity with Electronic Health Records (EHR) systems, including integrating machine learning models with these systems.
REQUIRED qualifications: Experience in managing end-to-end ML lifecycle.
Experience in managing automation with Terraform.
Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes).
CI/CD tools (e.g., Github Actions).
Programming languages and frameworks (e.g., Python, R, SQL).
Deep understanding of coding, architecture, and deployment processes Strong understanding of critical performance metrics.
Extensive experience in predictive modeling, LLMs, and NLP Exhibit the ability to effectively articulate the advantages and applications of the RAG framework with LLMs Accountabilities: Production Deployment and Model Engineering: Proven experience in deploying and maintaining production-grade machine learning models, with real-time inference, scalability, and reliability.
Scalable ML Infrastructures: Proficiency in developing end-to-end scalable ML infrastructures using on-premise cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Azure.
Engineering Leadership: Ability to lead engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks while aligning with business strategic directions.
AI Pipeline Development: Experience in developing AI pipelines for various data processing needs, including data ingestion, preprocessing, and search and retrieval, ensuring solutions meet all technical and business requirements.
Collaboration: Demonstrated ability to collaborate with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines for continuous improvement of machine learning models.
Continuous Integration/Continuous Deployment (CI/CD) Pipelines: Expertise in implementing and optimizing CI/CD pipelines for machine learning models, automating testing and deployment processes.
Monitoring and Logging: Competence in setting up monitoring and logging solutions to track model performance, system health, and anomalies, allowing for timely intervention and proactive maintenance.
Version Control: Experience implementing version control systems for machine learning models and associated code to track changes and facilitate collaboration.
Security and Compliance: Knowledge of ensuring machine learning systems meet security and compliance standards, including data protection and privacy regulations.
Documentation: Skill in maintaining clear and comprehensive documentation of ML Ops processes and configurations.
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
- Fulltime/Permanent REMOTE position This Jobot Job is hosted by: Dallas Gillespie 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: Full-time, fully remote position with excellent benefits Candidates must live in the PST or MDT time zones.
CST zone candidates will be considered.
EST Candidates are not eligible.
Why join us? We value you! Our impressive benefits package, bonus potential, and salary reflect that! Work somewhere you are recognized for your contributions! Apply Today! Job Details Minimum Education: Bachelor’s degree in computer science, artificial intelligence, informatics or closely related field.
Master’s degree in computer science, engineering or closely related field preferred.
Minimum Experience: 3 or more years of relevant Machine Learning Engineer Experience.
Proven experience with: Artificial intelligence and machine learning platforms (e.g., AWS, Azure or GCP).
Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes).
CI/CD tools (e.g., Github Actions).
Programming languages and frameworks (e.g., Python, R, SQL).
MLOps engineering principles, agile methodologies, and DevOps life-cycle management.
Technical writing and documentation for AI/ML models and processes.
Healthcare data and machine learning use cases.
Healthcare Expertise: Understanding of healthcare regulations and standards, and familiarity with Electronic Health Records (EHR) systems, including integrating machine learning models with these systems.
REQUIRED qualifications: Experience in managing end-to-end ML lifecycle.
Experience in managing automation with Terraform.
Containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes).
CI/CD tools (e.g., Github Actions).
Programming languages and frameworks (e.g., Python, R, SQL).
Deep understanding of coding, architecture, and deployment processes Strong understanding of critical performance metrics.
Extensive experience in predictive modeling, LLMs, and NLP Exhibit the ability to effectively articulate the advantages and applications of the RAG framework with LLMs Accountabilities: Production Deployment and Model Engineering: Proven experience in deploying and maintaining production-grade machine learning models, with real-time inference, scalability, and reliability.
Scalable ML Infrastructures: Proficiency in developing end-to-end scalable ML infrastructures using on-premise cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Azure.
Engineering Leadership: Ability to lead engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks while aligning with business strategic directions.
AI Pipeline Development: Experience in developing AI pipelines for various data processing needs, including data ingestion, preprocessing, and search and retrieval, ensuring solutions meet all technical and business requirements.
Collaboration: Demonstrated ability to collaborate with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines for continuous improvement of machine learning models.
Continuous Integration/Continuous Deployment (CI/CD) Pipelines: Expertise in implementing and optimizing CI/CD pipelines for machine learning models, automating testing and deployment processes.
Monitoring and Logging: Competence in setting up monitoring and logging solutions to track model performance, system health, and anomalies, allowing for timely intervention and proactive maintenance.
Version Control: Experience implementing version control systems for machine learning models and associated code to track changes and facilitate collaboration.
Security and Compliance: Knowledge of ensuring machine learning systems meet security and compliance standards, including data protection and privacy regulations.
Documentation: Skill in maintaining clear and comprehensive documentation of ML Ops processes and configurations.
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
S
Senior DevOps Engineer (AWS)
Salary not disclosed
We are rebuilding Tennis Channel’s digital experience from the ground up — mobile apps, TV apps, content management, analytics, monitoring, and eventually live and VOD video delivery.
AWS will be our core cloud platform.
We’re looking for an experienced Senior AWS Platform / DevOps Engineer to design, deploy, and operate the backbone of our new streaming platform.
You will own our AWS environment end-to-end: infrastructure, automation, observability, and security.
As our first DevOps hire, you’ll work directly with the Head of Engineering (ex-Amazon, ex-Prime Video) and a small, senior development team.
This is a hands-on role where you’ll set up environments, implement automation, enforce security best practices, and establish standards that future engineers will follow.
Along the way, you’ll help build a greenfield streaming platform with no legacy constraints, while making infrastructure decisions that will power experiences for millions of fans worldwide.
This is a unique opportunity to collaborate with proven leaders, shape the foundation of a new digital ecosystem, and play a pivotal role in the relaunch of Tennis Channel’s direct-to-consumer business.
This role is based in Seattle.
Key Responsibilities: Infrastructure & Automation Design, deploy, and manage AWS infrastructure: API Gateway, Lambda, ECS Fargate, Amazon RDS (PostgreSQL & MySQL/Aurora), DynamoDB, ElastiCache, S3, CloudFront, WAF, and Kinesis.
Implement Infrastructure as Code using AWS CDK (preferred) or Terraform.
Build and maintain CI/CD pipelines (GitHub Actions or AWS CodePipeline).
Security & Compliance Configure IAM roles, policies, and least-privilege access.
Implement and monitor CloudTrail, GuardDuty, Security Hub, WAF.
Enforce tagging, cost controls, and guardrails across environments.
Observability & Reliability Set up CloudWatch metrics, dashboards, and alarms.
Implement distributed tracing (AWS X-Ray) and log analytics (OpenSearch or equivalent).
Create synthetic canaries to validate key user flows (login, playback, API health).
Establish backup, recovery, and disaster recovery strategies.
Analytics & Data Implement data ingestion pipelines (e.g., Kinesis Firehose → S3 → Athena).
Deliver product dashboards with QuickSight or equivalent.
Video Delivery Extend infrastructure into AWS Media Services (MediaLive, MediaPackage, MediaConvert, MediaTailor) for live and VOD streaming.
Support secure, global video delivery through CloudFront and related services.
Required Qualifications: 5+ years of professional experience in AWS cloud infrastructure and DevOps Hands-on experience with Amazon RDS (PostgreSQL & MySQL) in production: deployment, performance tuning, backups, upgrades, and security Strong background with core AWS services: API Gateway, Lambda, ECS Fargate, DynamoDB, S3, CloudFront, WAF, ElastiCache Proficient with Infrastructure as Code (AWS CDK strongly preferred; Terraform/CloudFormation acceptable with willingness to switch) Skilled in CI/CD pipelines (GitHub Actions, CodePipeline, or Jenkins) Strong grasp of IAM, VPC networking, and AWS security best practices Experience with observability: CloudWatch, X-Ray, logging pipelines, and alerting Proficiency in scripting languages (Python, Bash) Strong communication and documentation skills; able to work independently in a small, fast-moving team Nice to have: Experience deploying and scaling a headless CMS (Strapi, Contentful, Sanity, etc.) Familiarity with streaming video architectures Knowledge of analytics pipelines (Kinesis, Athena, QuickSight) AWS certifications (Solutions Architect, SysOps, DevOps Engineer) Tennis Channel is proud to be equal opportunity employer and a drug free workplace.
Employment practices will not be influenced or affected by virtue of an applicant's or employee's race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, military or veteran status or any other characteristic protected by law.
About PickleballTV Pickleballtv (PBTV) is the 24-hour television home of America’s fastest growing sport.
With coverage of tournaments throughout the year, the network offers 1,000+ hours of live matches from the game’s top professionals and biggest stars.
PBTV also provides viewers with first-class instruction, exclusive lifestyle programming and studio news content and more.
About Tennis Channel Tennis Channel is the media home to two twenty-four-hour television networks, a subscription streaming service, online magazine and podcasts dedicated to the sport and its unique lifestyle.
The tennis-media hub is home to every aspect of the wide-ranging, worldwide tennis community.
Tennis Channel is carried nationwide by every one of the top ten pay-TV service providers.
About Sinclair Sinclair, Inc.
(Nasdaq: SBGI) is a diversified media company and a leading provider of local news and sports.
The Company owns, operates and/or provides services to 178 television stations in 81 markets affiliated with all major broadcast networks; owns Tennis Channel, the premium destination for tennis enthusiasts; multicast networks CHARGE, Comet, ROAR and The Nest.
Sinclair’s AMP Media produces a growing portfolio of digital content and original podcasts.
Additional information about Sinclair can be found at .
About the Team The life-blood of our organization is our people.
We have a compelling story, a goal-oriented culture, and we take really good care of people.
How good? Here is a glimpse: great benefits, open-door policy, upward mobility and a strong desire to see you succeed.
Ready to be part of a winning team? Let’s talk.
The base salary compensation range for this role is $140,000 to $170,000.
Final compensation for this role will be determined by various factors such as a candidates’ relevant work experience, skills, certifications, and geographic location.
Full time positions are eligible for benefits that include participation in a retirement plan, life and disability insurance, health, dental and vision plans, flexible spending accounts, sick leave, vacation time, personal time, parental leave and employee stock purchase plan.
#tennis
AWS will be our core cloud platform.
We’re looking for an experienced Senior AWS Platform / DevOps Engineer to design, deploy, and operate the backbone of our new streaming platform.
You will own our AWS environment end-to-end: infrastructure, automation, observability, and security.
As our first DevOps hire, you’ll work directly with the Head of Engineering (ex-Amazon, ex-Prime Video) and a small, senior development team.
This is a hands-on role where you’ll set up environments, implement automation, enforce security best practices, and establish standards that future engineers will follow.
Along the way, you’ll help build a greenfield streaming platform with no legacy constraints, while making infrastructure decisions that will power experiences for millions of fans worldwide.
This is a unique opportunity to collaborate with proven leaders, shape the foundation of a new digital ecosystem, and play a pivotal role in the relaunch of Tennis Channel’s direct-to-consumer business.
This role is based in Seattle.
Key Responsibilities: Infrastructure & Automation Design, deploy, and manage AWS infrastructure: API Gateway, Lambda, ECS Fargate, Amazon RDS (PostgreSQL & MySQL/Aurora), DynamoDB, ElastiCache, S3, CloudFront, WAF, and Kinesis.
Implement Infrastructure as Code using AWS CDK (preferred) or Terraform.
Build and maintain CI/CD pipelines (GitHub Actions or AWS CodePipeline).
Security & Compliance Configure IAM roles, policies, and least-privilege access.
Implement and monitor CloudTrail, GuardDuty, Security Hub, WAF.
Enforce tagging, cost controls, and guardrails across environments.
Observability & Reliability Set up CloudWatch metrics, dashboards, and alarms.
Implement distributed tracing (AWS X-Ray) and log analytics (OpenSearch or equivalent).
Create synthetic canaries to validate key user flows (login, playback, API health).
Establish backup, recovery, and disaster recovery strategies.
Analytics & Data Implement data ingestion pipelines (e.g., Kinesis Firehose → S3 → Athena).
Deliver product dashboards with QuickSight or equivalent.
Video Delivery Extend infrastructure into AWS Media Services (MediaLive, MediaPackage, MediaConvert, MediaTailor) for live and VOD streaming.
Support secure, global video delivery through CloudFront and related services.
Required Qualifications: 5+ years of professional experience in AWS cloud infrastructure and DevOps Hands-on experience with Amazon RDS (PostgreSQL & MySQL) in production: deployment, performance tuning, backups, upgrades, and security Strong background with core AWS services: API Gateway, Lambda, ECS Fargate, DynamoDB, S3, CloudFront, WAF, ElastiCache Proficient with Infrastructure as Code (AWS CDK strongly preferred; Terraform/CloudFormation acceptable with willingness to switch) Skilled in CI/CD pipelines (GitHub Actions, CodePipeline, or Jenkins) Strong grasp of IAM, VPC networking, and AWS security best practices Experience with observability: CloudWatch, X-Ray, logging pipelines, and alerting Proficiency in scripting languages (Python, Bash) Strong communication and documentation skills; able to work independently in a small, fast-moving team Nice to have: Experience deploying and scaling a headless CMS (Strapi, Contentful, Sanity, etc.) Familiarity with streaming video architectures Knowledge of analytics pipelines (Kinesis, Athena, QuickSight) AWS certifications (Solutions Architect, SysOps, DevOps Engineer) Tennis Channel is proud to be equal opportunity employer and a drug free workplace.
Employment practices will not be influenced or affected by virtue of an applicant's or employee's race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, military or veteran status or any other characteristic protected by law.
About PickleballTV Pickleballtv (PBTV) is the 24-hour television home of America’s fastest growing sport.
With coverage of tournaments throughout the year, the network offers 1,000+ hours of live matches from the game’s top professionals and biggest stars.
PBTV also provides viewers with first-class instruction, exclusive lifestyle programming and studio news content and more.
About Tennis Channel Tennis Channel is the media home to two twenty-four-hour television networks, a subscription streaming service, online magazine and podcasts dedicated to the sport and its unique lifestyle.
The tennis-media hub is home to every aspect of the wide-ranging, worldwide tennis community.
Tennis Channel is carried nationwide by every one of the top ten pay-TV service providers.
About Sinclair Sinclair, Inc.
(Nasdaq: SBGI) is a diversified media company and a leading provider of local news and sports.
The Company owns, operates and/or provides services to 178 television stations in 81 markets affiliated with all major broadcast networks; owns Tennis Channel, the premium destination for tennis enthusiasts; multicast networks CHARGE, Comet, ROAR and The Nest.
Sinclair’s AMP Media produces a growing portfolio of digital content and original podcasts.
Additional information about Sinclair can be found at .
About the Team The life-blood of our organization is our people.
We have a compelling story, a goal-oriented culture, and we take really good care of people.
How good? Here is a glimpse: great benefits, open-door policy, upward mobility and a strong desire to see you succeed.
Ready to be part of a winning team? Let’s talk.
The base salary compensation range for this role is $140,000 to $170,000.
Final compensation for this role will be determined by various factors such as a candidates’ relevant work experience, skills, certifications, and geographic location.
Full time positions are eligible for benefits that include participation in a retirement plan, life and disability insurance, health, dental and vision plans, flexible spending accounts, sick leave, vacation time, personal time, parental leave and employee stock purchase plan.
#tennis
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