Senior Full-Stack Software Engineer (Infrastructure/DevOps)
New
Based in the United StatesFull-TimeSenior
SalaryCompetitive compensation package based on experience, technical expertise, certifications, security clearance level, and market factors.
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Job Details
- Experience
- 7+ years
- Required Skills
- Node.jsPostgreSQLKubernetesTypeScriptCI/CDDevOps
Requirements
- Eligibility to obtain a U.S. Secret security clearance.
- 7+ years of experience building, deploying, and operating production cloud platforms.
- Strong experience with Infrastructure as Code, especially AWS CDK and TypeScript.
- Deep understanding of cloud architecture, distributed systems, DevOps practices, and production engineering.
- Hands-on experience with agentic AI development tools such as Codex, Claude Code, or similar solutions.
- Strong software engineering background with experience in Node.js, PostgreSQL, and Prisma or similar database technologies.
- Experience with container orchestration platforms such as Kubernetes/EKS or ECS.
- Proven experience operating secure cloud infrastructure in high-compliance environments, ideally supporting DoD IL4 or similar regulated systems.
- Knowledge of CI/CD architecture, automated testing strategies, observability, and infrastructure optimization.
Responsibilities
- Design, build, and maintain secure cloud infrastructure using Infrastructure as Code practices, primarily through AWS CDK and TypeScript.
- Develop and manage cloud environments, including networking, compute resources, data stores, secrets management, and platform automation.
- Architect and optimize CI/CD pipelines with advanced capabilities such as affected-only builds, remote caching, merge queues, and test optimization.
- Implement DevSecOps practices by integrating security controls, compliance automation, artifact signing, and security evidence generation directly into development workflows.
- Build and maintain secure architectures based on Zero Trust principles, including identity integration, mTLS, policy-as-code authorization, and continuous security monitoring.
- Leverage AI-assisted development tools to accelerate engineering workflows while ensuring all generated code meets production-quality standards.
- Ensure platforms meet strict security and compliance requirements, including DoD Impact Level 4 (IL4) standards and related security frameworks.
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