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Senior Software Engineer - Reliability Engineering (Remote)

Key Facts

Remote From: 
Full time
Senior (5-10 years)
English

Other Skills

  • Social Intelligence
  • Communication
  • Adaptability
  • Dealing With Ambiguity
  • Teamwork
  • Mentorship
  • Innovation

Roles & Responsibilities

  • GCP Cloud Infrastructure — BigQuery analytics, ADC auth, cloud-native services
  • Observability — Grafana, Prometheus, Kibana/Elasticsearch (WES logs), OCP Health Dashboards
  • Terraform Enterprise — Infrastructure as Code
  • GitHub Copilot + AI Agents — AI-accelerated incident analysis, automated remediation workflows, prompt-engineered operational tooling

Requirements:

  • Delivery and Execution: Develops, tests, deploys, and maintains software with a clear understanding of the value provided; creates test suites and enables rapid production deployments; tackles new opportunities and challenges with urgency and energy.
  • Reliability and AI-enabled automation: Leads post-mortems; builds automation to reduce operational toil using AI agents and prompt-engineered tooling for incident diagnosis and remediation; partners with product owners and developers to deploy reliable, high-performing services.
  • Planning and Alignment: Collaborates in agile processes; ensures user stories are valuable, developer-ready, easy to understand and testable; communicates effectively with diverse audiences and adapts approach to changing conditions; plans capacity and monitoring to meet SLOs.
  • Mentorship and Enablement: Mentors junior engineers; leads technical discussions; promotes operational excellence and practical AI fluency.

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.

Position Purpose:

The Senior Software Engineer for Site Reliability drives the platform's stability, scalability, and performance. This role enhances product reliability by engineering automated solutions for complex infrastructure and operational challenges, including leveraging AI-assisted tooling and prompt engineering to accelerate incident diagnosis, automate remediation workflows, and generate actionable insights from operational data. Key responsibilities include championing application availability and efficiency through proactive monitoring, performance tuning, and strategic improvements. The engineer will lead post-mortems, create automation to reduce operational toil—applying AI agents and large language models where they deliver measurable efficiency gains—and partner with product owners and developers to enable the deployment of reliable, high-performing services. This position participates in tool selection, assists with capacity planning, and builds the monitoring and alerting to meet business-defined Service Level Objectives (SLOs). Within a collaborative team, the role also involves mentoring less experienced engineers to foster a culture of operational excellence and practical AI fluency.


Key Responsibilities:

  • 50% Delivery and Execution - 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
  • 20% Learns and Grows - 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
  • 20% Plans and Aligns - 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
  • 10% Supports and Enables - Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions


Direct Manager/Direct Reports:

  • This position typically reports to Software Engineer Manager or Sr. Manager
  • This position has 0 Direct Reports


Travel Requirements:

  • No travel required.


Physical Requirements:

  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.


Working Conditions:

  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.


Minimum Qualifications:

  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.


Preferred Qualifications:

  • GCP Cloud Infrastructure — BigQuery analytics, ADC auth, cloud-native services
  • Observability — Grafana, Prometheus, Kibana/Elasticsearch (WES logs), OCP Health Dashboards
  • Terraform Enterprise — Infrastructure as Code
  • GitHub — SCM
  • GH Copilot + AI Agents — AI-accelerated incident analysis, automated remediation workflows, prompt-engineered operational tooling
  • SRE Practices — Production Readiness Review, Capacity Planning, Change Validation, Prod Support, Post-Mortems, SLO Definition & Tracking
    ServiceNow — Incident, Problem, and Change management; trend analysis; RCA grouping
  • BigQuery — Incident analytics, problem candidate identification, operational reporting
  • PagerDuty — On-call scheduling, escalation paths, push-button paging
  • Rundeck — Self-heal automation, push-button remediation jobs
  • Atlassian (Jira/Confluence) — RCA documentation, runbooks, architecture diagrams, onboarding
  • CyberArk — Privileged access for WMS/DFC log pulls and node access
  • Manhattan WMS — Warehouse Management System operations, RF/UI/LM node support
  • Python Automation — Operational scripting, BQ pipelines, alert correlation, report generation


Minimum Education:

  • 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.


Preferred Education:

  • No additional education


Minimum Years of Work Experience:

  • 3


Preferred Years of Work Experience:

  • No additional years of experience


Minimum Leadership Experience:

  • None


Preferred Leadership Experience:

  • None


Certifications:

  • None


Competencies:

  • Global Perspective
  • Manages Ambiguity
  • Nimble Learning
  • Self-Development
  • Collaborates
  • Cultivates Innovation
  • Situational Adaptability
  • Communicates Effectively
  • Drives Results
  • Interpersonal Savvy

For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents:
 

The pay range for this position is between $90,000.00 - $180,000.00

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