Senior Software Engineer - Site Reliability Engineering (Remote)

The Home Depot

1d•Remote

About The Position

The Senior Software Engineer for Site Reliability Engineering (Store Systems Enablement) builds and operates the internal platforms that keep Home Depot's store systems observable, reliable, and automated. This is a platform engineering role: you will design, develop, and maintain the tools that hundreds of development and reliability teams depend on, not just use them. The team owns and operates a portfolio of reliability platforms, including a custom-built synthetic testing system that runs inside physical Home Depot stores, operational automation infrastructure serving dozens of teams, and the full observability stack (logging, tracing, and profiling) for Store Systems. You will write code, deploy infrastructure, tune distributed systems, and reduce operational toil through automation, including AI-assisted workflows. Key focus areas include: Platform Development: Build and extend internal reliability tools using Kubernetes, Terraform, and modern infrastructure-as-code patterns on Google Cloud Platform. Observability Operations: Deploy, configure, and maintain production logging, tracing, and profiling systems. Own the SLO/CUJ platform that enables multi-window, multi-burn-rate alerting and automated tracking dashboards for RE teams across Store Systems. Toil Reduction & Automation: Identify repetitive operational work and engineer it away. Build self-service capabilities, Copilot skills, and automation pipelines so teams can operate independently. SLO & CUJ Enablement: Maintain and extend the platform that powers SLO and Critical User Journey definition across the organization. Educate RE teams on what good SLOs and CUJs look like, assist with onboarding, and build automation and documentation so teams can self-serve. You will have strong opinions on the right way to measure reliability and the tooling to back them up. Synthetic Monitoring: Extend our in-store synthetic testing platform: onboard teams, enable them to write and deploy their own tests, and evolve the platform's orchestration, alerting, and self-service capabilities. Incident Response & Resilience: Participate in on-call rotation for observability infrastructure. Lead and contribute to blameless post-mortems. Design and execute destructive tests to validate platform resilience. You will work on a small, high-impact team where the work is varied: some weeks you're writing Terraform and Helm charts, others you're debugging Loki query performance or building a Copilot skill to automate a support workflow. You will be expected to own problems end-to-end, from investigation through implementation to production deployment.

Requirements

Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
3-5 years of experience in Site Reliability Engineering, Platform Engineering, DevOps, or Infrastructure Engineering
Hands-on experience with Google Cloud Platform (GCP), including GKE, GCS, BigQuery, Cloud Pub/Sub, Cloud Logging, IAM, and Workload Identity.
Strong Kubernetes experience: deploying and managing workloads on GKE or similar managed Kubernetes services, writing and debugging Helm charts, managing namespaces, RBAC, service accounts, and troubleshooting issues
Experience with infrastructure-as-code tools, particularly Terraform for cloud resource management.
Proficiency in one or more of: Go, Python, JavaScript/TypeScript, YAML. You don't need all of them, but you should be comfortable reading Go, writing YAML and HCL, and scripting in Python or JavaScript.
Experience with observability platforms: deploying, configuring, or operating log aggregation, distributed tracing, metrics, dashboarding, or continuous profiling
Practical understanding of SLOs, SLIs, and error budgets.
Experience with synthetic monitoring or performance testing frameworks (k6, Playwright, Selenium, Locust, or similar).
Familiarity with incident management and on-call practices: Blameless post-mortems, runbook development, and incident communication
Experience with CI/CD pipelines using GitHub Actions, Spinnaker, ArgoCD, or similar.
Understanding of deployment strategies (blue/green, canary, rolling).
Experience with automation to reduce operational toil: building self-service tooling, writing scripts or bots to handle repetitive tasks, or developing internal developer platforms
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Nice To Haves

Experience with other major cloud providers (AWS, Azure) is also valuable.
Familiarity with cdk8s (CDK for Kubernetes) or similar programmatic IaC tools is a plus.
Experience defining Service Level Objectives, instrumenting services for SLI measurement, and configuring burn-rate alerting is highly preferred.
Bonus if you've built or operated a synthetic testing platform rather than just consumed one.
Familiarity with AI-assisted development tools (GitHub Copilot, LLM-based automation, MCP servers) is a plus.
Experience writing clear technical documentation, runbooks, and onboarding guides
Comfort working on a small team with broad ownership: you will context-switch between writing code, debugging production systems, and onboarding partner teams
Preferred Education: No additional education
Preferred Years of Work Experience: No additional years of experience
Preferred Leadership Experience: None

Responsibilities

Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide.
Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm.
Consistently achieves results, even under tough circumstances.
Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production.
Takes a broad view when approaching issues; using a global lens.
Learns through successful and failed experiment when tackling new problems.
Actively seeks ways to grow and be challenged using both formal and informal development channels.
Collaborates with other team members in agile processes.
Creates new and better ways for the organization to be successful.
Works the Product Team to ensure user stories are valuable, developer ready, easy to understand and testable.
Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences.
Adapts approach and demeanor in real time to match the shifting demands of different situations.
Relates openly and comfortably with diverse groups of people.
Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions.