What are the responsibilities and job description for the DevSecOps Engineer position at Motion Recruitment Partners, LLC?
Responsibilities
- Design and maintain scalable, automated, and secure AWS infrastructure using OpenTofu/Terraform.
- Support networking, identity, compute, storage, and Kubernetes services.
- Implement security best practices, including:
- System hardening
- Vulnerability and secrets management
- Least-privilege access
- Logging and monitoring
- Secure-by-default patterns
- Own engineering tickets from requirements through implementation, testing, rollout, documentation, and handoff.
- Independently manage work, resolve routine blockers, and maintain progress.
- Work with Kubernetes and container technologies such as Docker and Podman.
- Use AI-assisted development tools to improve coding, testing, documentation, and problem-solving.
- Review, test, and validate all AI-generated code and recommendations.
- Develop automated unit, integration, and validation tests for infrastructure code.
- Build automation and engineering utilities using Python and Bash.
- Participate in code reviews, design reviews, troubleshooting, and standards development.
- Collaborate with technology governance teams on engineering processes, security controls, and audit requirements.
- Maintain continuity across existing platform initiatives and active workstreams.
- 10 years of experience in platform engineering, systems engineering, DevOps, SRE, cloud engineering, or a related field.
- Significant hands-on AWS experience supporting production workloads and platform services.
- Advanced OpenTofu/Terraform and Infrastructure as Code experience.
- Strong Kubernetes deployment, operations, support, and troubleshooting skills.
- Strong Docker and/or Podman experience.
- Proficiency in Python and Bash.
- Experience developing, testing, reviewing, and maintaining production-quality infrastructure code.
- Practical knowledge of hardening, vulnerability management, least privilege, secrets management, logging, and monitoring.
- Ability to deliver complex engineering work from requirements through production with limited supervision.
- Strong self-management, problem-solving, communication, and documentation skills.
- Experience with AI-assisted development tools such as GitHub Copilot, Claude Code, Codex, or comparable platforms.
- Ability to validate AI output through human review, testing, quality gates, and security standards.
- Experience with SOC 2, ISO 27001, NIST 800-53, or similar security frameworks.
- Experience with enterprise CI/CD platforms and secure delivery-pipeline design.
- Experience with automated Infrastructure as Code testing and validation.
- Experience integrating AI assistance into established engineering workflows while maintaining human review, security, testing, and change controls.