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Peraton

Platform Engineer (AWS)

Posted Yesterday
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In-Office
Colorado Springs, CO, USA
112K-179K Annually
Senior level
In-Office
Colorado Springs, CO, USA
112K-179K Annually
Senior level
Builds and operates AWS GovCloud infrastructure and platform services supporting government and intelligence applications. Responsibilities include cloud infrastructure automation, Kubernetes and Amazon EKS operations, infrastructure as code, secure GitLab CI/CD pipelines, software development, observability, cybersecurity, and AI-enabled platform capabilities. The engineer owns features through planning, implementation, deployment, verification, and operational support in an on-site Agile environment.
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Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

Responsibilities

Peraton is seeking a Platform Engineer to support a customer in Colorado Springs, CO, supporting the Space Weather Analysis Forecasting Service (SWAFS) GovCloud solution. This is an excellent opportunity for an experienced developer to contribute to a mission-critical government program in a collaborative Agile environment.


The Platform Engineer builds and operates the AWS cloud infrastructure, automation, and services used to deliver and support government and intelligence-community applications. The role combines cloud infrastructure, software development, Kubernetes operations, secure CI/CD, cloud developer environments, cybersecurity, observability, and AI-enabled platform capabilities.


This is an individual contributor role on-site in Colorado Springs. The engineer owns assigned features from planning through implementation, review, deployment, verification, and operational follow-up.


You will join a technically rigorous, collaborative, and good-humored platform engineering team. We value ownership, direct communication, practical judgment, predictable and timely delivery, respectful code review, knowledge sharing, and continuous improvement.


We support one another while maintaining clear ownership of delivery. Team members share context, review each other's work, and help solve problems across the platform rather than treating systems as personal territory. Each engineer is expected to investigate problems, make progress independently, meet delivery commitments, surface risks early, and avoid shortcuts that create preventable security, reliability, or maintenance problems.


Qualifications

Required Qualifications 

  • Active Top Secret clearance with SCI eligibility.
  • Min of 8 years with BA/BS; Min 6 years with MS/MA; Min 3 years with PHD.
  • 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.

Platform and Developer Enablement

  • Build, operate, and improve secure AWS and Kubernetes platforms supporting 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.

Software, Automation, and AI

  • 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.

Security, Reliability, and Operations

  • 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.

Feature Delivery and Collaboration

  • Own assigned features from an 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 across platform, application, cybersecurity, mission, and government stakeholders; participate actively in respectful code review; and use Jira and agreed Agile delivery practices to keep status, estimates, risks, dependencies, and completion criteria current.

Continuous Improvement

  • Continuously improve technical knowledge and stay current with relevant cloud, software, security, AI, and platform engineering practices.
  • Evaluate emerging technologies and approaches, and identify where they can improve platform capability, developer experience, security, reliability, or delivery efficiency.
  • Turn lessons learned into clear documentation, runbooks, reusable engineering patterns, process improvements, and delivered changes to the platform.


Preferred Qualifcations           


Direct experience with the following technologies is desired but not required...                               

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

Target Salary Range$112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Benefits Statement

Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.

Application StatementsThe application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate’s own. EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Peraton Colorado Springs, Colorado, USA Office

Colorado Springs, United States

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