Senior Cloud Site Reliability Engineer; SRE

• Must be a U.S. Citizen with the ability to obtain and maintain the required Public Trust level Clearance
• Bachelors Degree and 8 years of experience, or a High School diploma or equivalent and 12 years of experience
• Must have 5+ years of advanced Python development experience, building enterprise-grade, highly available tools, APIs, and utilities for AWS
• 7+ years of extensive experience in software development with focus on reliability and platform engineering
• 3+ years of hands‑on experience developing solutions in AWS environments with deep understanding of core services (EC2, VPC, S3, Lambda, IAM, Cloud Formation, Event Bridge, Step Functions etc.) and resource cost optimization
• 3+ years of experience applying SRE principles including observability, toil automation, SLIs/SLOs and reliability engineering
• Expert‑level proficiency with Infrastructure as Code (IaC) using Terraform, including module development and state management
• Strong experience with CI/CD pipelines, automated testing frameworks, and Dev Ops practices
• Experience with observability tools and practices including Grafana, AWS Cloud Watch, AWS Canary
• Experience defining, implementing, and managing SLOs/SLIs and error budgets; familiarity with conducting RCAs and producing postmortem documentation
• Working experience in Agile and Scaled Agile environments and familiarity with ITSM processes (incident, change, and problem management), resilience testing and chaos engineering practices

• Experience with GoLang or additional programming languages is a plus
• Bachelors Degree in Computer Science, Information Systems, or similar

Peraton is looking for a Senior Cloud Site Reliability Engineer (SRE) who will be responsible for designing and developing advanced Python‑based AWS cloud solutions and engineering reliability tools for the Cloud Foundation Services (CFS) platform in the Infrastructure, Platforms & Operations organization. This person will apply software engineering practices including Infrastructure-as-Code (IaC) with Terraform to build scalable, reusable solutions and utilities that enhance platform reliability across the Federal Reserve System.

Work Location:

This is a remote position

• Design, develop, and maintain reliability solutions and SRE utilities using Python in AWS environments to reduce toil, improve cloud platform reliability, and industrialize SRE practices across the system
  • Build automation scripts, APIs, and utilities in Python to reduce toil and improve platform reliability.
  • Implement observability and monitoring solutions (Grafana, AWS Cloud Watch) leveraging Python for custom metrics and dashboards
• Build and optimize Infrastructure as Code (IaC) using Terraform to manage AWS resources related to SRE solutions, incorporating cost‑efficient design principles
  • Optimize Infrastructure as Code (IaC) with Terraform for AWS resources, integrating Python‑based workflows.
• Develop CI/CD pipelines and automated testing to ensure code quality, reliability, and rapid delivery of the solutions
• Define SRE standards, best practices, and guidelines for adoption across teams; establish SRE metrics like SLI, SLOs, etc.
• Apply software engineering best practices including version control, code reviews, test‑driven development, and documentation to all development
• Participate in incident management and on‑call rotation, providing technical support for SRE tools, troubleshooting production issues, and collaborating with teams to reduce incident recurrence through proactive detection and pattern analysis
• Stay current with emerging AWS services, SRE methodologies, and cloud‑native development technologies, and drive adoption of innovative solutions
• Collaborate within Agile and Scaled Agile frameworks with cross‑functional teams to deliver integrated cloud automation solutions
• Produce clear, blameless postmortems with actionable items and documented failure scenarios