Staff AI DevOps Engineer

Illumina; San Diego (CA); Hybrid; USD 142,000 - 212,000; Full time

Benefits offered by this job

Health/dental/vision benefits

Retirement benefits

Paid time off

Job summary

Illumina, based in the United States, seeks a Staff AI DevOps Engineer to shape AI infrastructure for federated agent development and enterprise-scale deployments across AWS and Azure. You will lead the design of secure, scalable AI solutions and integrate AI models into production workflows, collaborating with Infrastructure & Cloud Services and software teams.

The role emphasizes hands-on implementation, architectural governance, and mentoring of junior engineers, with a strong focus on

Qualifications

• Typically requires a minimum of 8 years of professional software development experience with a bachelor's degree; or 6 years with a master's degree; or equivalent experience.
• Experience with AI/ML infrastructure, agent orchestration, or similar AI-powered development tools.
• Proficiency in Python, TypeScript/JavaScript, and experience with AI/ML frameworks and libraries.
• Strong understanding of enterprise software architecture patterns and distributed systems design.
• Experience with cloud platforms (AWS, Azure) and infrastructure-as-code tools.
• Experience with Docker, Kubernetes, and container orchestration in production environments.
• Strong understanding of information security principles, OAuth 2.0/OpenID Connect flows, API security, and secure system design.
• Strong communication and mentoring skills with the ability to collaborate across different teams.
• Basic understanding of enterprise services like Microsoft 365 and IAM and their APIs.
• Excellent problem-solving skills and the ability to work in an innovative, fast-paced incubator environment.

Responsibilities

• Design and implement AI infrastructure to support federated agent development and distributed deployment across the organization.
• Manage and orchestrate AI agents to generate architecturally sound code, ensuring adherence to enterprise standards and best practices.
• Build and maintain MCP servers and related infrastructure for agent communication, coordination, and enterprise integration.
• Accelerate code review processes by leveraging AI agents for automated analysis, quality checks, and architectural validation.
• Integrate AI models and APIs, including LLMs and generative AI, into the bot solutions to provide natural language understanding and intelligent responses.
• Develop and manage infrastructure-as-code (IaC) using Terraform or Ansible to provision and configure resources on AWS, Azure.
• Establish robust monitoring, governance, and security frameworks for AI agent operations in enterprise environments.
• Implement and manage secure authentication and authorization systems for MCP servers, including OAuth flows and API security.
• Collaborate closely with product owners and internal customers to gather requirements and deliver solutions that improve efficiency and user experience.
• Act as a forward-deployed engineer, coaching on AI infrastructure best practices and guiding adoption across teams.

Skills

Python

TypeScript/JavaScript

AI/ML infrastructure

Cloud platforms (AWS, Azure)

Docker

Kubernetes

Terraform

Ansible

OAuth 2.0/OpenID Connect

Security best practices

Mentoring

Education

Bachelor's degree in Computer Science

Master's degree

Tools

Terraform

Ansible

Docker

Kubernetes

AWS

Azure

Job description

What if the work you did everyday could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world.

Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.

Location San Diego, CA hybrid. Not remote.

Position Summary

As a Staff AI DevOps Engineer, you will help shape how AI transforms software development and infrastructure services across the organization. As a key technical member of the DevOps team, you will design and build secure, scalable, enterprise-grade AI solutions; including infrastructure for federated AI agents, MCP servers, and AI-augmented development workflows across AWS and Azure. You will work hands‑on with teams across Infrastructure & Cloud Services and software development to solve complex technical challenges, establish sound engineering patterns, and enhance the end‑to‑end AI lifecycle; from experimentation, development, evaluation, and deployment to observability, governance, and continuous improvement. Through this work, you will accelerate the responsible adoption of reliable, production‑ready AI solutions and improve how software teams build, deliver, and operate AI‑enabled applications at enterprise scale.

Responsibilities

• Design and implement AI infrastructure to support federated agent development and distributed deployment across the organization to streamline common infrastructure and cloud service requests and support tasks.
• Manage and orchestrate AI agents to generate architecturally sound code, ensuring adherence to enterprise standards and best practices.
• Build and maintain MCP (Model Context Protocol) servers and related infrastructure for agent communication, coordination, and enterprise integration.
• Accelerate code review processes by leveraging AI agents for automated analysis, quality checks, and architectural validation.
• Integrate AI models and APIs, including LLMs and generative AI, into the bot solutions to provide natural language understanding and intelligent responses.
• Develop and manage infrastructure-as-code (IaC) using tools like Terraform or Ansible to provision and configure resources on AWS, Azure.
• Establish robust monitoring, governance, and security frameworks for AI agent operations in enterprise environments.
• Implement and manage secure authentication and authorization systems for MCP servers, including OAuth flows and API security.
• Collaborate closely with product owners and internal customers to gather requirements and deliver solutions that improve efficiency and user experience.
• Act as a forward-deployed engineer, working with different functional teams across the Infrastructure & Cloud Services department to coach on AI infrastructure best practices and guide adoption.
• Provide technical leadership in transitioning traditional development practices to AI‑augmented approaches.
• Mentor and guide junior engineers, promoting best practices in software development, AI integration, DevOps, Cloud and Platform Engineering.

Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs.

Requirements

• Typically requires a minimum of 8 years of professional software development experience with a demonstrated ability to architect and build scalable systems with a bachelor's degree; or 6 years with a master's degree; or equivalent experience.
• Experience with AI/ML infrastructure, agent orchestration, or similar AI-powered development tools.
• Proficiency in Python, TypeScript/JavaScript, and experience with AI/ML frameworks and libraries.
• Strong understanding of enterprise software architecture patterns and distributed systems design.
• Experience with cloud platforms (AWS, Azure) and infrastructure-as-code tools.
• Experience with Docker, Kubernetes, and container orchestration in production environments.
• Strong understanding of information security principles, OAuth 2.0/OpenID Connect flows, API security, and secure system design.
• Strong communication and mentoring skills with the ability to collaborate across different teams.
• Basic understanding of enterprise services like Microsoft 365 and IAM (Identity and Access Management) and their APIs (e.g., Microsoft Graph API, Azure AD).
• Excellent problem-solving skills and the ability to work in an innovative, fast‑paced incubator environment.

Preferred

• Demonstrated experience in a product or solutions-oriented role, creating tools for internal customers.
• Relevant certifications from AWS, Azure, or professional certifications in AI/ML are highly desirable.
• Knowledge of AWS services such as Agent Core, Bedrock, and Lambda, or similar services on Azure including AI Foundry, Agent Loop, and Azure Functions is a significant plus.
• Knowledge of MCPs/APIs and integration patterns for common enterprise tools like ServiceNow, Jira, Confluence, GitHub, etc., is a plus.
• Experience with AI agent frameworks, LLM integration, or Model Context Protocol (MCP) implementations.
• Background in building federated systems or multi‑agent AI platforms.
• Experience with AI governance, security, and compliance in enterprise environments.
• Familiarity with code generation tools, automated testing frameworks, and AI-powered development workflows.
• Knowledge of vector databases, embedding systems, and retrieval-augmented generation (RAG) architectures.
• Previous experience managing transitions from traditional to AI‑augmented development practices.

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Salary

The estimated base salary range for the Staff AI DevOps Engineer role based in the United States of America is: $141,600 - $212,400. Should the level or location of the role change during the hiring process, the applicable base pay range may be updated accordingly. The range reflects long-term growth in the role; therefore, most candidates are hired between the minimum and middle of the range. Placement depends on experience, skills, location, and internal equity. Additionally, all employees are eligible for one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package.

Benefits

We offer a wide range of benefits as innovative as our work, including access to genomics sequencing, family planning, health/dental/vision, retirement benefits, and paid time off. We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics.

Equal Opportunity

We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information.

Background Check

Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws.

AI Usage Policy

Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact [e-mail]. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf.

Position Posted

The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. The potential of genomics to change the world is unparalleled. At Illumina, we are leading the way. Our technology empowers researchers and clinicians globally to improve cancer treatments, change the course of diseases, protect the environment, and fight food insecurity. We are made up of dedicated professionals, all‑in on creating a better world – and we need every skill set on our path to making genomics useful for all. Learn more about life at Illumina.