Associate Engineer - DevSecOps

The Associate Engineer - Dev Sec Ops  is responsible for protecting the organization's AI infrastructure, data, and systems from internal and external cybersecurity threats by implementing, managing, and continuously improving security practices, tools, and operations with a focus on AI, cloud applications, and infrastructure.

• Assist in developing AI-assisted security automation, secure software delivery pipelines, and operational Dev Sec Ops  capabilities
• Translate clearly defined requirements into small software components, scripts, prompts, test cases, and configuration changes.
• Use approved AI-assisted development tools, such as coding copilots or agentic coding tools, to learn, prototype, document, and improve code with appropriate review.
• Support internal staff by researching, documenting, and resolving routine security questions and issues under guidance; elevate complex matters to senior team members.
• Support prompt engineering, basic agent workflows, retrieval-assisted use cases, and API integrations to ensure security controls and observability.
• Write and execute basic unit tests, validation checks, and troubleshooting steps to confirm expected behaviour.
• Maintain clear documentation, including setup notes, design summaries, prompt/spec notes, user instructions, and operational runbooks.
• Participate in code reviews, demos, testing sessions, backlog discussions, and team learning activities.
• Performs other duties as assigned
• Complies with all policies and standards

No supervisory responsibilities

• Education
  • Bachelor's degree in related discipline; or
  • Equivalent combination of education and experience.

• Candidates with early experience of software engineering, data science, automation, or related technical work gained through internships, academic projects, research assignments, open-source contributions, hackathons, or personal portfolio work.
• Portfolio, Git Hub repository, class project, internship deliverable, or capstone project that demonstrates coding, automation, AI, data, or problem-solving skills.

• Foundational programming ability in Python, JavaScript/Type Script, Java, or a similar language, demonstrated through coursework or projects.
• Basic 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 apply approved AI-assisted development tools responsibly, with review and coaching from senior team members.
• Ability to quickly acquire new knowledge, 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 the ability to explain work, document decisions, and collaborate with technical and non-technical teammates.
• Ability to apply principles of responsible AI, data privacy, information security, and ethical technology practices in day-to-day work.

0% No Travel Required

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The base pay range for this position is $103,000 - $145,000 annually. The base pay range may take into account the candidate’s geographic region, which will adjust the pay depending on the specific work location. The base pay offered will take into account the candidate’s geographic…