> Markdown version of [/jobs/ext/3546339-platform-engineer](https://www.wearedevelopers.com/jobs/ext/3546339-platform-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 Engineer - **Company:** EVERYTHM INC - **Location:** McLean, VA, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Cloud Computing Security, Continuous Delivery, Continuous Integration, Disaster Recovery, Python (Programming Language), Key Management, Reliability Engineering, Policy as Code, Scripting, Kubernetes Helm Charts, Build Management, Kubernetes, Infrastructure Automation Frameworks, Hashicorp, Data Management, Terraform - **Published:** September 30, 2026 - **Apply:** https://www.careerbuilder.com/job-details/platform-engineer-mclean-va--4e52dff7-4f5b-4acc-adca-4ef284f49b7a ## About the Role * Strong production experience with AWS, Terraform, Kubernetes, and CI/CD. * A track record of solving complex or poorly defined problems through investigation and evidence. * Excellent written and verbal communication skills, with the ability to explain technical tradeoffs to engineers, security teams, and product leaders. * Experience driving adoption of platform capabilities across teams you do not directly manage. * Hands-on experience implementing cloud security and compliance controls. * Experience developing tooling and automation with Python or Go. * U.S. citizenship, required for access to Exiger's FedRAMP federal environments where legally required. Nice to Have * Experience with one or more of the following is a plus: * FedRAMP, FISMA, IL4/IL5, or CMMC environments * AWS GovCloud * Policy-as-code * HashiCorp Vault * Multi-region disaster recovery * Internal developer platforms * Automated compliance and continuous authorization practices, Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Automation, Career Development, Cloud Computing, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Disaster Recovery, FISMA - Federal Information Security Management Act, Fortune 500 Customers, Government, Identity Data Management, Incident Response, Industrial Organization, LinkedIn, Machine Tool, On Call, Presentation/Verbal Skills, Problem Solving Skills, Product Engineering, Purchasing/Procurement, Python Programming/Scripting Language, Reliability Engineering, Risk, Risk Management, Supply Chain, Training/Teaching, U.S. National Institute of Standards and Technology (NIST), United States Citizen, Writing Skills ## Description We're looking for an experienced Platform Engineer to own and evolve critical parts of Exiger's platform, including CI/CD, infrastructure as code, Kubernetes, secrets and identity, observability, and automated compliance controls. The strongest candidates are excellent problem solvers who are also genuinely great to work with. Platform engineering only creates value when engineering teams adopt and trust the platform, so this role requires both deep technical expertise and strong communication, collaboration, and influence. What You'll Do * Design and build reusable platform components, including Terraform modules, Helm charts, and pipeline templates, with reliable interfaces that engineering teams can adopt. * Operate production Amazon EKS and multi-account AWS environments, including networking, identity, and secrets management. * Translate FedRAMP, NIST 800-53, and SOC 2 requirements into automated technical controls and continuously auditable systems. * Extend platform capabilities into AWS GovCloud to support federal workloads. * Build observability and reliability practices that make production behavior visible, measurable, and recoverable. * Partner directly with product engineering teams to identify and eliminate day-to-day development and operational friction. * Participate in on-call rotations, lead incident response, and drive durable fixes that improve platform reliability. * Solve ambiguous technical problems using data, experimentation, and evidence rather than assumptions.