Deployment Engineer Jobs
Deployment Engineer jobs are open across cloud infrastructure, DevOps, fintech, healthcare technology, and defense contracting, from entry-level to senior and staff levels, with specializations in CI/CD pipeline automation, containerization, and release management. Find a role that fits from the openings below and apply directly.
Find Deployment Engineer JobsOverview
Showing 5 of 193+ Deployment Engineer jobs
About The Team
The AI Deployment Engineering (ADE) team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer’s industry and to drive these initiatives from prototype to production through hands-on technical guidance and partnership. As a Partner ADE, you’ll support systems integrators and their most strategic customers transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.
About The Role
We are looking for a driven solutions leader with a product mindset as the founding Partner ADE to own the technical engagement with our systems integrators (including GSIs, RSIs, and boutique SIs) and ensure their customers achieve tangible business value with GenAI. You will help partners identify high-value use cases and provide technical enablement through the implementation of AI solutions. Your efforts will accelerate partners’ time to unlock distribution and adoption, ensuring they deliver exceptional results for our joint customers while maintaining high-quality standards. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Head of Solutions Architecture. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In This Role, You Will
- Deeply embed with GSIs, RSIs, and boutique SIs as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API for their customers.
- Work with senior SI and customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap.
- Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance.
- Forge and manage relationships with SI and customer stakeholders to ensure the successful deployment and scale of their applications.
- Codify solution packages and architectural patterns to accelerate time to deployment for customers and partners.
- Lead technical support during partners' initial projects to ensure successful implementations and mentor their technical teams towards self-sufficiency in delivering OpenAI-powered solutions.
- Scale the Partner Solutions Architect function by sharing knowledge, codifying best practices, contributing resources to our open-source repositories, and publishing resources to internal and external knowledge bases.
- Validate, synthesize, and deliver high-signal feedback to the Product and Research teams.
You’ll Thrive In This Role If You
- Have 8+ years of technical consulting (or equivalent) experience, managing C-level technical and business relationships with complex global organizations.
- Have led complex technical projects and programs with many stakeholders, ideally within or through an SI.
- Have industry experience in programming languages like Python or Javascript.
- Have led complex implementations of Generative AI and/or traditional ML solutions.
- Have built and/or delivered prototypes using the OpenAI API.
- Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders.
- Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.
- Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
Compensation Range: $197K - $278K
About The Team
The AI Deployment Engineering (ADE) team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer’s industry and to drive these initiatives from prototype to production through hands-on technical guidance and partnership. As a Partner ADE, you’ll support systems integrators and their most strategic customers transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.
About The Role
We are looking for a driven solutions leader with a product mindset as the founding Partner ADE to own the technical engagement with our systems integrators (including GSIs, RSIs, and boutique SIs) and ensure their customers achieve tangible business value with GenAI. You will help partners identify high-value use cases and provide technical enablement through the implementation of AI solutions. Your efforts will accelerate partners’ time to unlock distribution and adoption, ensuring they deliver exceptional results for our joint customers while maintaining high-quality standards. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Head of Solutions Architecture. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In This Role, You Will
- Deeply embed with GSIs, RSIs, and boutique SIs as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API for their customers.
- Work with senior SI and customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap.
- Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance.
- Forge and manage relationships with SI and customer stakeholders to ensure the successful deployment and scale of their applications.
- Codify solution packages and architectural patterns to accelerate time to deployment for customers and partners.
- Lead technical support during partners' initial projects to ensure successful implementations and mentor their technical teams towards self-sufficiency in delivering OpenAI-powered solutions.
- Scale the Partner Solutions Architect function by sharing knowledge, codifying best practices, contributing resources to our open-source repositories, and publishing resources to internal and external knowledge bases.
- Validate, synthesize, and deliver high-signal feedback to the Product and Research teams.
You’ll Thrive In This Role If You
- Have 8+ years of technical consulting (or equivalent) experience, managing C-level technical and business relationships with complex global organizations.
- Have led complex technical projects and programs with many stakeholders, ideally within or through an SI.
- Have industry experience in programming languages like Python or Javascript.
- Have led complex implementations of Generative AI and/or traditional ML solutions.
- Have built and/or delivered prototypes using the OpenAI API.
- Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders.
- Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.
- Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
Compensation Range: $197K - $278K
See All 193+ Deployment Engineer Jobs
Jump back to the full list of openings and apply to any deployment engineer role that fits.
Find Deployment Engineer JobsDeployment Engineer Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Amazon88
- Meta14
- OpenAI12
- Fluidstack9
- PassiveLogic5
Top Industries Hiring
- Technology & Software58
- Science & Research14
- Artificial Intelligence9
- Energy8
- Consulting & Professional Services6
What Employers Look For
The qualifications that appear most often in deployment engineer jobs.
- Hands-on experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI
- Proficiency in containerization and orchestration using Docker and Kubernetes
- Experience with infrastructure-as-code tools including Terraform or Ansible
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
- Scripting ability in Python, Bash, or PowerShell for automation tasks
- Bachelor's degree in computer science, information technology, or a related field
Tips for Your Deployment Engineer Job Search
Quantify deployment metrics on your resume
Recruiters scanning deployment engineer resumes want numbers: deployment frequency, rollback rates, pipeline build times you reduced. Replace vague phrases like 'improved CI/CD' with specific outcomes tied to tools like Jenkins, ArgoCD, or GitHub Actions.
Highlight the stack, not just the category
Listing 'containerization experience' is too broad. Name the exact tools: Kubernetes, Helm, Docker Compose, Terraform. Hiring managers search for tool names, and your resume surfaces higher when the specific stack matches their job description.
Apply early to roles that fit
Migrate Mate lists deployment engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings by environment type
Filter openings by on-prem, cloud-native, or hybrid environments before applying. Your experience deploying to AWS EKS transfers differently than bare-metal orchestration. Matching your environment background to the job description improves callback rates significantly.
Prepare a deployment failure walkthrough
Interviewers almost always ask you to describe a deployment that went wrong. Prepare a specific incident: what failed, how you diagnosed it, how you rolled back or patched forward, and what process change you made afterward. Vague answers rarely pass.
Negotiate on-call expectations before accepting
Deployment engineers often carry on-call rotations. Before accepting an offer, ask directly how many engineers share the rotation, what the escalation path looks like, and whether on-call compensation is separate from base salary. These details vary widely by team.
Deployment Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most deployment engineers?
The companies hiring the most deployment engineers right now include Amazon, Meta, and OpenAI, with the largest share of openings in Texas, California, and New York, based on current listings on Migrate Mate as of June 2026. Demand is concentrated in cloud-heavy industries including financial services, healthcare technology, and defense contracting.
How many deployment engineer jobs are remote?
About 15% of deployment engineer openings are fully remote or hybrid as of June 2026, reflecting the role's strong alignment with distributed engineering teams. Fully remote positions are most common in cloud-native environments and SaaS companies, while roles tied to on-premises infrastructure or regulated industries such as defense tend to require on-site presence.
How do you become a deployment engineer?
Start by building hands-on experience with version control systems like Git, then learn a CI/CD platform such as GitHub Actions or GitLab CI. Add containerization skills with Docker and Kubernetes, then practice infrastructure-as-code with Terraform. Contributing to open-source deployment tooling or building personal pipeline projects demonstrates practical ability to hiring managers alongside any formal credentials.
Can you get hired as a deployment engineer with little experience?
Yes, entry-level deployment engineer roles exist, particularly at mid-size technology companies willing to train candidates who demonstrate strong scripting fundamentals and familiarity with at least one CI/CD tool. Building a public GitHub repository with working pipelines, even for toy projects, gives you concrete work to reference in interviews when you lack production environment history.
What does the deployment engineer interview process look like?
Most deployment engineer interviews include a recruiter screen focused on tool experience, a technical phone round covering pipeline design or Kubernetes concepts, and a practical exercise where you either troubleshoot a broken deployment configuration or design a release workflow. Final rounds often include a systems design conversation and a team-fit interview with the engineering manager overseeing the release process.
Where can I find and apply to deployment engineer jobs?
You can find and apply to deployment engineer jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your experience and stack, then apply directly to each listing.
See All 193+ Deployment Engineer Jobs
Jump back to the full list of openings and apply to any deployment engineer role that fits.
Find Deployment Engineer Jobs