AI DevSecOps Engineer — Secure AI Infra & Pipelines

Exelixis, Inc.; Alameda (CA); Hybrid; USD 103,000 - 145,000; Full time

Benefits offered by this job

401k plan with company contributions

Medical, dental and vision coverage

Life and disability insurance

Flexible spending accounts

Discretionary annual bonus program

Employee stock purchase plan

15 accrued vacation days in first year

17 paid holidays including winter shut

Job summary

Exelixis, Inc. is seeking an Associate Engineer - DevSecOps to protect AI infrastructure, data, and systems from cyber threats. You will implement and continuously improve security practices, tools, and operations focused on AI, cloud applications, and infrastructure.

The role emphasizes developing AI-assisted security automation, secure software delivery, and contributing to code reviews, tests, and documentation while collaborating with a skilled team.

Qualifications

• Foundational programming ability in Python, JavaScript/TypeScript, Java, or a similar language.
• Basic understanding of software development fundamentals: data structures, APIs, Git, debugging, testing, and documentation.
• Introductory knowledge of AI, machine learning, generative AI, LLMs, prompt engineering, or data science concepts.

Responsibilities

• Assist in developing AI-assisted security automation, secure software delivery pipelines, and operational DevSecOps capabilities.
• Translate requirements into small software components, scripts, prompts, test cases, and configuration changes.
• Use approved AI-assisted development tools to learn, prototype, document, and improve code with review.

Skills

Python

JavaScript/TypeScript

Java

Git

Problem solving

Communication

Education

Bachelor's degree

Equivalent education & experience

Tools

Copilot

Agentic coding tools

Job description

Exelixis, Inc. is seeking an Associate Engineer - DevSecOps to protect AI infrastructure, data, and systems from cyber threats. You will implement and continuously improve security practices, tools, and operations focused on AI, cloud applications, and infrastructure.

The role emphasizes developing AI-assisted security automation, secure software delivery, and contributing to code reviews, tests, and documentation while collaborating with a skilled team.