Senior Cloud Site Reliability Engineer (SRE)
Peraton
Remote · US · Posted October 22, 2026
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About the job
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 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
What You Will Do
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 CloudWatch) 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
Qualifications
Basic Qualifications
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, CloudFormation, EventBridge, 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 DevOps practices
Experience with observability tools and practices including Grafana, AWS CloudWatch, 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
Preferred Qualifications
Experience with GoLang or additional programming languages is a plus
Bachelors Degree in Computer Science, Information Systems, or similar
Target Salary Range $104,000 - $166,000. 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 Statements The 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.
EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.