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Hybrid role: Must be within 1 hour drivable distance: New York, NY/San Francisco, CA/ Philadelphia, PA/Boston, MA/ Richmond, VA/ St.Louis, MO/Minneapolis, MN/ Dallas, TX/Cleveland, OH/ Charlotte, NC/Kansas City, KS/Atlanta, GA

As a Senior Cloud Engineer in the Cloud SRE team, you will be responsible for designing and developing cloud solutions and engineering reliability tools for the Cloud Foundation Services (CFS) platform in the Infrastructure, Platforms, & Operations organization.

You will apply software engineering practices to build scalable, reusable solutions and utilities that enhance platform reliability across the Federal Reserve System.

Responsibilities

Design, develop, and maintain reliability solutions and SRE utilities to reduce toil, improve cloud platform reliability, and industrialize SRE practices across the system

Build and optimize Infrastructure as Code (IaC) using Terraform to manage AWS resources related to SRE solutions, incorporating cost-efficient design principles

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

Seven years of experience in software development, with focus on reliability and platform engineering

Five years of Python development skills, with proven experience building enterprise-grade, highly available tools, APIs, and utilities

A minimum of three 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

Three 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

Experience with GoLang or additional programming languages is a plus

Requirements

Must-Have Skills

7 years of experience in software development, with focus on reliability and platform engineering
5 years of Python development skills, with proven experience building enterprise-grade, highly available tools, APIs, and utilities
?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 Skills (Nice to Have)

Experience with GoLang or additional programming languages