Platform Engineer (AWS)

Peraton • Colorado Springs, CO

9h • Onsite

About The Position

Peraton is seeking a Platform Engineer to support the Space Weather Analysis Forecasting Service (SWAFS) GovCloud solution in Colorado Springs, Colorado. This on-site individual-contributor role supports a mission-critical government program in a collaborative Agile environment. The engineer builds and operates AWS cloud infrastructure, automation, and services used to deliver and support government and intelligence-community applications. The work spans cloud infrastructure, software development, Kubernetes operations, secure CI/CD, cloud developer environments, cybersecurity, observability, and AI-enabled platform capabilities.

The engineer owns assigned features from planning through implementation, review, deployment, verification, and operational follow-up. The team values ownership, direct communication, practical judgment, timely delivery, respectful code review, knowledge sharing, and continuous improvement. Engineers are expected to investigate problems, make progress independently, meet commitments, surface risks early, and avoid shortcuts that could harm security, reliability, or maintainability.

The position requires working on-site in Colorado Springs five days per week during standard business hours. The typical salary range is $112,000–$179,000. Depending on the position, employees may also be eligible for overtime, shift differential, and a discretionary bonus.

Requirements

• Active Top Secret clearance with SCI eligibility.
• At least 8 years of experience with a BA/BS, at least 6 years with an MS/MA, or at least 3 years with a Ph.D.
• Ability to work on-site in Colorado Springs five days per week during standard business hours.
• DoD 8570/8140 IAT Level II-equivalent certification, such as CompTIA Security+.
• Experience designing, deploying, and operating AWS infrastructure, preferably in AWS GovCloud or another controlled environment.
• Experience designing, deploying, and operating Kubernetes, Amazon EKS, and containerized workloads.
• Experience developing and maintaining Terraform, CloudFormation, or comparable infrastructure-as-code solutions.
• Experience developing and maintaining GitLab CI/CD pipelines, Git workflows, and automated software delivery processes.
• Ability to investigate problems, make progress independently, meet delivery commitments, communicate clearly, and surface risks early.

Nice To Haves

• Direct experience with AWS Lambda, EventBridge, SQS, SNS, Step Functions, CloudWatch, and IAM.
• Direct experience with Amazon EKS, Helm, Istio, Fluent Bit, and containerized platform services.
• Direct experience with PostgreSQL and Valkey/Redis.
• Direct experience with OpenSearch, Grafana, and CloudWatch metrics.
• Direct experience with backup, disaster recovery, resiliency, and cross-region architectures.
• Direct experience with air-gapped, disconnected, multi-enclave, or otherwise controlled environments.

Responsibilities

• Build, operate, and improve secure AWS and Kubernetes platforms that support government and intelligence-community applications.
• Design and operate secure, self-service cloud developer environments, including workspace templates, hardened images, developer tooling, lifecycle automation, and controlled access to platform services.
• Create reusable platform capabilities that make application development and delivery more secure, reliable, and efficient.
• Develop platform services, automation, and integrations in Python or Go using infrastructure as code and secure CI/CD practices.
• Build and operate generative AI and agentic AI capabilities for developer and cybersecurity workflows, including reusable skills, model integrations, automated workflows, and controlled tool access.
• Apply security, evaluation, auditability, provenance, and human-validation practices to AI-enabled platform features.
• Apply secure engineering practices across identity, access, secrets, certificates, containers, software supply chains, vulnerability remediation, and security scanning.
• Improve observability, reliability, resiliency, backup, disaster recovery, and operational diagnostics across platform services.
• Participate in business-hours platform triage and respond to support requests, failed pipelines, and important alarms.
• Own assigned features from initial problem or outcome through planning, implementation, review, deployment, verification, and operational follow-up.
• Investigate unfamiliar systems, clarify incomplete requirements, identify risks and dependencies, and develop practical delivery approaches without step-by-step direction.
• Communicate progress, decisions, blockers, recommendations, estimates, and changes in scope clearly and directly.
• Collaborate with platform, application, cybersecurity, mission, and government stakeholders; participate in respectful code review; and use Jira and agreed Agile practices to keep status, estimates, risks, dependencies, and completion criteria current.
• Continuously improve technical knowledge and stay current with relevant cloud, software, security, AI, and platform engineering practices.
• Evaluate emerging technologies and approaches for potential improvements to platform capability, developer experience, security, reliability, or delivery efficiency.
• Turn lessons learned into documentation, runbooks, reusable engineering patterns, process improvements, and delivered platform changes.

Benefits

• Medical, dental, vision, and life benefits.
• Health savings account.
• Short- and long-term disability.
• Employee assistance program (EAP).
• Parental leave.
• 401(k).
• Paid time off (PTO) for vacation.
• Company-paid holidays.
• Depending on the position, eligibility for overtime, shift differential, and a discretionary bonus.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior