Cloud SRE

Cloud Engineer/Developer

As a Senior Cloud Engineer/Developer in the Cloud SRE team, you will be responsible for designing and developing cloud solutions and engineering reliability tools. This is a developer-focused role within the infrastructure space, where you will apply software engineering practices to build scalable and reusable solutions. This position requires working EST hours and U.S. citizenship.

Key Responsibilities

• 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
• 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

• Must have 5+ years of advanced Python development experience, building enterprise-grade, highly available tools, APIs, and utilities for AWS.
• Bachelor's degree in computer science, Information Systems, or equivalent background or equivalent experience
• 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

Technical Skills

• Advanced Python development skills (5+ years) are required.
• Expert-level proficiency with Infrastructure as Code (IaC) using Terraform.
• Strong experience with CI/CD pipelines, automated testing frameworks, and Dev Ops practices.
• Experience with observability tools such as Grafana and AWS Cloud Watch.
• Deep understanding of core AWS services (e.g., EC2, VPC, S3, Lambda, IAM, Cloud Formation, Event Bridge, Step Functions).
• Experience defining and managing SLOs/SLIs and familiarity with ITSM processes.

Preferred Qualifications

• Experience with GoLang or additional programming languages is a plus.
• Working experience in Agile and Scaled Agile environments.