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Illumina

Develops sequencing platforms and consumables

Staff Development Operations Engineer

DevOps EngineeringUpdated on Nov 13
Full-timeSan Diego, CA, USA

About the Job

Requirements

  • Typically requires at least 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 and 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 such as Microsoft 365 and IAM (Identity and Access Management), and their APIs (e.g., Microsoft Graph API, Azure AD).
  • Excellent problem-solving skills and 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, streamlining common infrastructure and cloud service requests and support tasks.
  • Manage and orchestrate AI agents to generate architecturally sound code and ensure 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 using AI agents for automated analysis, quality checks, and architectural validation.
  • Integrate AI models and APIs, including LLMs and generative AI, into bot solutions to provide natural language understanding and intelligent responses.
  • Develop and manage infrastructure as code using tools such as Terraform or Ansible to provision and configure resources on AWS and 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 with product owners and internal customers to gather requirements and deliver solutions that improve efficiency and user experience.
  • Work as a forward-deployed engineer with functional teams across Infrastructure & Cloud Services, coaching them on AI infrastructure best practices and guiding 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.

Desired Qualifications

  • Demonstrated experience in a product- or solutions-oriented role creating tools for internal customers.
  • Relevant certifications from AWS or Azure, or professional certifications in AI/ML.
  • Knowledge of AWS services such as Agent Core, Bedrock, and Lambda, or similar Azure services including AI Foundry, Agent Loop, and Azure Functions.
  • Knowledge of MCPs/APIs and integration patterns for common enterprise tools such as ServiceNow, Jira, Confluence, and GitHub.
  • Experience with AI agent frameworks, LLM integration, or Model Context Protocol implementations.
  • Background 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 architectures.
  • Previous experience managing transitions from traditional to AI-augmented development practices.

About the Company

Illumina

Develops sequencing platforms and consumables

Illumina develops and sells integrated sequencing systems and the consumables needed to analyze genetic variation and biological function. Its instruments use sequencing-by-synthesis on flow-cell-based platforms, with specialized reagents and library preparation kits that are consumed per run. The company differentiates itself through a broad end-to-end ecosystem, a large installed base that drives repeat purchases, and strategic acquisitions that expand capabilities into multiomics and clinical applications. Its goal is to advance genomic analysis for research and clinical diagnostics to enable personalized medicine and early cancer detection.

Company size
5,001-10,000
Company stage
IPO
Headquarters
San Diego, CA
Founded
1998

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