Senior Cloud Site Reliability Engineer (SRE)
Peraton· enterprise· Defense & Federal Services· Oct 1, 2026 · 27d ago
United States
Remote
Full-time
Senior
$104K–$166K
8+ years exp
Job description
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
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
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
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
Application prep
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Keywords to mirror
pythonawsci/cdagilegolang
- Platform
- peraton
- Effort
- medium