Security & Agentic AI DevSecOps Engineer (Product Security)

Silverlink Technologies LLC
Milpitas, United States of America
23 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 104K

Job location

Milpitas, United States of America

Tech stack

Artificial Intelligence
Cloud Computing
Computer Security
Information Leak Prevention
DevOps
Systems Development Life Cycle
Large Language Models
Software Security
Mitre Att&ck
Information Technology
Machine Learning Operations
Virtual Agents
Devsecops
Static Application Security Testing
Dynamic Application Security Testing

Job description

  • Design and implement automated security controls across the AI/agentic system lifecycle - model access control, inference authorization, rate limiting, and policy-driven prompt/instruction validation.
  • Implement continuous, automated threat modeling for LLM pipelines, agent orchestration frameworks, and AI gateways/inference services.
  • Build secure-by-default reference architectures using configuration as code, runtime policy engines, and automated security testing pipelines.
  • Create plugins, hooks, and skills using Claude Code and/or Microsoft AI Foundry.
  • Implement fully automated Secure SDLC pipelines integrating SAST, DAST, SCA, secrets detection, container scanning, and IaC scanning, plus AI-specific testing (prompt injection, model misuse, data leakage).
  • Design and operate automated SBOM and AI BOM pipelines, including continuous SBOM generation and AI BOMs covering models, datasets, checkpoints, and training artifacts.
  • Implement automated vulnerability, license, and provenance analysis with continuous CVE/advisory ingestion and policy enforcement.
  • Implement continuous automated security monitoring across application runtimes, AI/ML inference services, and agent workflows; develop security metrics and telemetry.
  • Develop and teach agentic AI workflow automation using Copilot Studio and/or Claude Code; act as technical authority on AI security automation and DevSecOps.
  • Strong hands-on experience in automated Product Security or AI Security systems, with deep knowledge of cloud/hybrid infrastructure and pipeline-driven enforcement.
  • Familiarity with MITRE ATT&CK, CVSS, CWE frameworks.

Requirements

  • Bachelor''s degree in Computer Science, Cybersecurity, IT Security, or equivalent experience.
  • Experience in DevOps, SecOps, DevSecOps, or MLOps with strong automation focus.
  • Demonstrated success implementing automated Secure SDLC pipelines.

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