Engineer I - DevSecOps (Ai Security)
About The Position
The Engineer I - DevSecOps protects the organization's AI infrastructure, data, and systems from internal and external cybersecurity threats. The role implements, manages, and continuously improves security practices, tools, and operations, with a focus on AI, cloud applications, and infrastructure. The position develops AI-assisted security automation, secure software delivery pipelines, and operational DevSecOps capabilities. It creates software components, scripts, prompts, test cases, and configuration changes; uses AI-assisted development tools; and develops and maintains prompts, basic agent workflows, retrieval-assisted use cases, and API integrations to support security controls and observability. The engineer also tests and troubleshoots software and pipelines, documents work, and participates in code reviews, demonstrations, testing sessions, backlog discussions, and team learning activities. The role provides cybersecurity expertise to internal staff, vendors, and partners. Other duties may be assigned, and the employee must comply with all policies and standards. This position has no supervisory responsibilities. It is located in Alameda, California, and requires no travel. The office is described as a modern, collaborative workspace with necessary equipment, including dual monitors and ergonomic chairs.
Requirements
- Bachelor's degree in a related discipline and 3 years of relevant experience, or an equivalent combination of education and experience.
- Experience in software engineering, data science, automation, or related technical work.
- Experience with cloud, AI systems, and application security.
- Experience administering or building IT systems.
- Experience working in Agile environments and using ticketing systems such as JIRA or JSM.
- Foundational programming ability in Python, JavaScript/TypeScript, Java, or a similar language, demonstrated through coursework or projects.
- General understanding of software development fundamentals, including data structures, APIs, Git, debugging, testing, and documentation.
- Introductory knowledge of AI, machine learning, generative AI, LLMs, prompt engineering, or data science concepts through coursework, projects, or self-directed learning.
- Ability to learn and responsibly apply approved AI-assisted development tools with review and coaching from senior team members.
- Ability to acquire new knowledge quickly, apply critical thinking, maintain attention to detail, and ask insightful questions to resolve uncertainty in requirements or technical approaches.
- Clear written and verbal communication skills, including explaining work, documenting decisions, and collaborating with technical and non-technical teammates.
- Ability to apply responsible AI, data privacy, information security, and ethical technology principles in day-to-day work.
- Knowledge of general IT applications and infrastructure.
- Knowledge of infrastructure as code, SDLC, and CI/CD pipelines.
- General understanding of information security principles.
Nice To Haves
- Hands-on experience developing or deploying security AI agents on at least one major cloud AI platform; Amazon Bedrock AgentCore (Runtime, Identity, Gateway, Memory, or Observability components) is strongly preferred.
- Understanding of agentic identity concepts, including how non-human or agent identities differ from human identities and how to scope authorization for autonomous systems.
Responsibilities
- Develop AI-assisted security automation, secure software delivery pipelines, and operational DevSecOps capabilities.
- Develop software components, scripts, prompts, test cases, and configuration changes.
- Execute and configure AI-assisted development tools, such as coding copilots or agentic coding tools.
- Assist with and provide cybersecurity expertise to internal staff, vendors, and partners on security practices and issues.
- Develop, integrate, and maintain prompts, basic agent workflows, retrieval-assisted use cases, and API integrations to support security controls and observability.
- Write and execute unit, integration, security, and pipeline tests; troubleshoot failures, remediate defects, and improve automated validation.
- Maintain documentation, including setup notes, design summaries, prompt/spec notes, user instructions, and operational runbooks.
- Contribute to and facilitate code reviews, demos, testing sessions, backlog discussions, and team learning activities.
- Perform other duties as assigned and comply with all policies and standards.
Benefits
- 401(k) plan with generous company contributions.
- Group medical, dental, and vision coverage.
- Life and disability insurance.
- Flexible spending accounts.
- Eligibility for a discretionary annual bonus program, or a sales-based incentive plan for field sales staff.
- Opportunity to purchase company stock.
- Long-term incentives.
- 15 accrued vacation days in the first year.
- 17 paid holidays, including a company-wide winter shutdown in December.
- Up to 10 sick days throughout the calendar year.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
