1

Build And Deployment Engineer Jobs (NOW HIRING)

AI Deployment Engineer

San Francisco, CA · On-site

$197K - $278K/yr

We act as trusted advisors and technical partners to our customers, helping them build and execute ... As an AI Deployment Engineer, you will help customers across various industries transform their ...

We are looking for a Workstation Deployment Engineer to support large-scale device preparation and ... build readiness. • Configure and provision Windows and Mac systems using modern endpoint ...

The Team You will be joining the newly formed Forward Deployment Engineering (FDE) team within ... Build and Ship Fast: Rapidly design and implement features and integrations based on immediate ...

About the team The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools ... You will partner directly with engineering leaders and hands-on builders to design, validate, and ...

Deployment Engineer II

Chandler, AZ · On-site

$31.57 - $50.76/hr

The Deployment Engineer II implements technology projects for clients in partnership with project ... This is a great opportunity to build your IT career while working on exciting technologies and ...

The Deployment Engineer II implements technology projects for clients in partnership with project ... This is a great opportunity to build your IT career while working on exciting technologies and ...

Build and deliver customer-facing demos, prototypes, workshops, proofs of concept, and reference ... deployment engineering, professional services, or equivalent customer-facing technical experience.

The Team You will be joining the newly formed Forward Deployment Engineering (FDE) team within ... Build and Ship Fast: Rapidly design and implement features and integrations based on immediate ...

The Team You will be joining the newly formed Forward Deployment Engineering (FDE) team within ... Build and Ship Fast: Rapidly design and implement features and integrations based on immediate ...

Site Deployment Engineer

San Carlos, CA · On-site

$90K - $115K/yr

We're looking for a Site Deployment Engineer to support the successful delivery and installation of ... This is a builder/operator role - ideal for someone who enjoys working with hardware, traveling to ...

New

The Team You will be joining the newly formed Forward Deployment Engineering (FDE) team within ... Build and Ship Fast: Rapidly design and implement features and integrations based on immediate ...

... and software deployments to a variety of non-production environments. • Champion of the ... continuous build and integration process. • Support Bitbucket activities (Create Repos, merge ...

About the team The AI Deployment Engineering team is responsible for ensuring the safe and ... We act as a trusted advisor and thought partner for our customers, working to build an effective ...

About the team The AI Deployment Engineering (ADE) team ensures the safe and effective deployment ... We act as trusted advisors and technical partners to our customers, helping them build and execute ...

next page

Showing results 1-20

Build And Deployment Engineer information

See salary details

$19

$59

$90

How much do build and deployment engineer jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for build and deployment engineer in the United States is $59.11, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $69.23 per hour, depending on experience, location, and employer.

What are Build and Deployment Engineers?

Build and Deployment Engineers are IT professionals responsible for automating, managing, and overseeing the processes involved in building software applications and deploying them to production environments. They work closely with development, QA, and operations teams to ensure that code changes are properly integrated, tested, and released efficiently and reliably. Their duties often include managing version control systems, configuring CI/CD pipelines, troubleshooting build failures, and maintaining deployment scripts. This role is critical in enabling continuous delivery and minimizing downtime during software releases.

What are some common challenges faced by Build and Deployment Engineers, and how can they be addressed?

Build and Deployment Engineers often encounter challenges such as managing complex build pipelines, handling integration issues, and ensuring consistent deployments across multiple environments. These challenges can be addressed by implementing robust automation tools, maintaining clear documentation, and collaborating closely with development, QA, and operations teams. Staying up to date with the latest CI/CD practices and proactively identifying bottlenecks also helps in maintaining smooth and reliable deployment processes.

What engineers make $300,000 a year?

Senior Build and Deployment Engineers with extensive experience, advanced skills in automation, cloud platforms, and DevOps tools can earn $300,000 or more annually, especially in high-cost-of-living areas or large tech companies. Achieving this salary often requires certifications, leadership roles, and a strong track record of managing complex deployment pipelines.

What engineer makes $500,000 a year?

Build and Deployment Engineers typically do not earn $500,000 annually; such high salaries are more common in executive or specialized roles like senior software engineers, cloud architects, or technical leads with extensive experience, advanced skills in automation, cloud platforms, and DevOps tools. Compensation at this level often includes bonuses, stock options, or profit sharing, especially in large tech companies or startups with significant growth. Most engineers earning this amount have over a decade of experience and hold advanced certifications or expertise in high-demand areas.

What is L1, L2, L3, and L4 engineer?

In the context of a Build and Deployment Engineer, L1, L2, L3, and L4 typically refer to different levels of technical expertise and responsibility. L1 engineers handle basic tasks and troubleshooting, L2 engineers address more complex issues, L3 engineers are senior specialists involved in design and problem-solving, and L4 engineers often lead projects or teams, providing advanced support and strategic input. These levels help define career progression and skill requirements within the engineering team.

What does a deployment engineer do?

A Build and Deployment Engineer is responsible for designing, implementing, and maintaining automated processes to build, test, and deploy software applications. They work with tools like Jenkins, Docker, and Kubernetes to ensure reliable and efficient software releases, often collaborating with development and operations teams. Their role includes managing deployment pipelines, troubleshooting deployment issues, and ensuring software stability in production environments.

What is the difference between Build And Deployment Engineer vs Software Developer?

AspectBuild And Deployment EngineerSoftware Developer
Primary FocusAutomating build, deployment, and release processesWriting, testing, and maintaining software code
Skills & CertificationsDevOps tools, scripting, CI/CD pipelinesProgramming languages, software design
Work EnvironmentDevOps teams, infrastructure, cloud platformsDevelopment teams, coding environments
Industry UsageTech companies, software firms, startupsAll industries developing software products

Build And Deployment Engineers focus on automating and managing the software release process, ensuring smooth deployment across environments. Software Developers primarily create and maintain software applications. While their roles overlap in understanding software development, their core responsibilities differ significantly, with Build And Deployment Engineers emphasizing deployment automation and Developers focusing on coding.

What are the key skills and qualifications needed to thrive as a Build and Deployment Engineer, and why are they important?

To thrive as a Build and Deployment Engineer, you need a solid understanding of software development processes, version control systems, and continuous integration/continuous deployment (CI/CD) pipelines, often supported by a background in computer science or related fields. Familiarity with tools like Jenkins, Git, Docker, Kubernetes, and scripting languages such as Bash or Python is typically required, along with certifications like AWS Certified DevOps Engineer being advantageous. Strong problem-solving, attention to detail, and effective communication skills help you collaborate across teams and respond quickly to build or deployment issues. These skills are crucial for ensuring reliable, efficient software releases and maintaining the stability of production environments.
What cities are hiring for Build And Deployment Engineer jobs? Cities with the most Build And Deployment Engineer job openings:
Who are the top companies hiring for Build And Deployment Engineer jobs? The top employers for Build And Deployment Engineer jobs are:
What are popular job titles related to Build And Deployment Engineer jobs? For Build And Deployment Engineer jobs, the most frequently searched job titles are:
AI Deployment Engineer

AI Deployment Engineer

OpenAI

San Francisco, CA • On-site

$197K - $278K/yr

Full-time

Posted 17 days ago


Job description

About the team
The AI Deployment Engineering 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 an AI Deployment Engineer, you will help customers across various industries transform their businesses through applications such as customer service automation, content generation, and entirely new offerings powered by our most advanced models.
About the role
We are looking for a solutions-oriented technical leader to engage with customers post-sale and ensure they realize tangible business value from their investment in OpenAI's technologies. You will work closely with senior leaders and technical teams within customer organizations to establish GenAI roadmaps, strategies, prioritize high-value use cases, and guide projects from early prototyping through enterprise-grade production deployments.
You will take a holistic view of each customer's architecture and operations, designing solutions that leverage ChatGPT, OpenAI APIs, and our broader ecosystem of tools and services. You will work cross-functionally with Sales, Solutions Engineering, Applied Research, and Product teams, and report to the Head of Solutions Architecture for your segment.
This role is based in San Francisco, CA. We use a hybrid work model (3 days/week in the office) and offer relocation assistance for new employees.
In this role, you will:
  • Serve as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions.
  • Engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in their roadmap.
  • Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production.
  • Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes.
  • Contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers.
  • Share learnings and collaborate with internal teams to inform product development and improve customer outcomes.
  • Codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types.

You'll thrive in this role if you:
  • Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.
  • Are a strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike.
  • Have experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations.
  • Possess hands-on proficiency in languages like Python, JavaScript, or similar, and are comfortable building prototypes or proofs of concept.
  • Take end-to-end ownership of challenges, proactively acquiring new skills or knowledge as needed to drive success.
  • Bring a humble, collaborative mindset and an eagerness to support teammates and customers alike.
  • Thrive in fast-paced environments, adeptly managing multiple workstreams and prioritizing for the highest customer impact.

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.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.