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Senior DevSecOps / Platform Security Engineer - GenAI Delivery

Remote in Poland
Security.Engineering& 7 others
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We are looking for an experienced Senior DevSecOps / Platform Security Engineer to join a large GenAI delivery program in the Healthcare/Life Sciences domain. The role focuses on building secure CI/CD pipelines, container security, software supply chain security, and AWS platform security to enable development teams to deliver secure applications. This is a hands-on technical role where you'll work closely with engineering teams to build reusable security solutions and automate security throughout the software development lifecycle.

Responsibilities
  • Build and maintain secure CI/CD pipelines using Jenkins
  • Implement secret scanning and secure secrets management
  • Develop secure Docker images using multi-stage builds and best practices
  • Integrate security tools such as SAST, SCA, IaC, and container scanning into CI/CD pipelines
  • Improve software supply chain security through dependency management and vulnerability scanning
  • Manage AWS security, including IAM, Secrets Manager, and secure cloud deployments
  • Resolve TLS/SSL and certificate-related issues
  • Create reusable DevSecOps templates and security standards for engineering teams
Requirements
  • 5+ years of experience in DevSecOps, Platform Security, or Cloud Security
  • Strong experience with Jenkins CI/CD pipelines
  • Proficiency in Python and/or Node.js
  • Hands-on experience with Docker and container security
  • Strong knowledge of AWS security services, including IAM, Secrets Manager, and Parameter Store
  • Experience with secret management and security scanning tools
  • Knowledge of SAST, SCA, IaC, and container vulnerability scanning
  • Understanding of software supply chain security and dependency management
  • Understanding of TLS/SSL and PKI concepts
  • Experience using AI coding assistants such as Claude Code, Codex, or similar is a plus
Nice to have
  • Background in Healthcare, Life Sciences, or other regulated environments
  • Exposure to GenAI/LLM platforms such as Amazon Bedrock
  • Knowledge of application security, Kubernetes, Helm, Bitbucket, and artifact repositories