> Markdown version of [/jobs/ext/4636230-platform-security-engineer](https://www.wearedevelopers.com/jobs/ext/4636230-platform-security-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Platform Security Engineer - **Company:** Akaasa Technologies - **Location:** McLean, VA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Bash Shell, Cloud Computing, Continuous Integration, DevOps, Python (Programming Language), PCI Data Security Standards, Regression Testing, Reliability Engineering, Software Engineering, TypeScript, AWS Cdk, Scripting, Cloud Platform System, Delivery Pipeline, Claude Code, AI Coding Agents, Infrastructure as Code (IaC), Cloudformation, Containerization, Kubernetes, Cloudwatch, Software Coding, Terraform, Devsecops, OpenSearch, Docker - **Published:** November 8, 2026 - **Apply:** https://www.careerjet.com/jobad/us742e1a9119afac68ff279a9a922b5077 ## About the Role Experience Level: Approximately Mid-to-Senior level (HM estimated Level 2/3 target; requires 4+ years of DevOps/DevSecOps experience with a Bachelor's degree, or 8+ years in lieu of a degree). Core Technical Must - Haves Cloud & Container Orchestration: Strong AWS production experience; solid grasp of container architecture, cluster management, and containerized deployments (Docker, ECS/EKS/Kubernetes). Infrastructure as Code (IaC): Deep hands-on experience using Terraform, AWS CloudFormation, or AWS CDK. Software & Scripting Capabilities: Platform engineers on this team write software code deployed to manage the platform itself. Proficiency in TypeScript, Python, or Go/Bash is essential. DevOps / CI/CD: 2+ years automating build, regression testing, monitoring, and release pipelines across multiple staging/production environments. AI Tooling Integration: Experience utilizing AI-assisted developer workflows (e.g., Amazon Q, Codex, or equivalent AI coding assistants). Preferred / Differentiating SkillsStrong AWS CDK and TypeScript background. Deep Kubernetes administration and workload deployment paradigms. Experience working under compliance and regulated government environments (FedRAMP Moderate, PCI DSS v4.0, ATO processes). AWS enterprise tooling (Organizations, Identity Center, CloudWatch, OpenSearch). HM Framing & Team Philosophy: Reed highlighted that both roles function as Platform Engineers bridging the gap across DevOps, DevSecOps, SRE, and cloud infrastructure. The team builds high-level abstractions and automation so downstream software engineering teams can deploy rapidly and securely. Across both roles, modern AI-augmented development tooling/workflows (e.g., Claude Code, Codex, Amazon Q, Pi) are heavily emphasized. ## Description Focus: Cloud platform and container architecture in AWS. Designs and enforces high-level infrastructure abstractions, container management platforms, and developer tooling to support scalable, mission-critical systems.