Software Engineering Manager - Reliability Engineering, Store Systems (Remote)

The Home Depot is a leading home improvement retailer, and they are seeking a Software Reliability Engineer Manager for their Store Systems RE team. The role involves ensuring the resilience and performance of Store Systems applications while mentoring junior engineers and managing incident resolution and infrastructure strategy.

Responsibilities:

• Looks across teams with a focus on alignment and dependencies
• Gains a thorough understanding of infrastructure needs and guides teams to design infrastructure platforms that meet end user requirements
• Translates product and project goals into infrastructure strategy and clearly communicates direction and priorities to teams and business partners
• Determines value to the business of anticipated Systems Engineering efforts
• Identifies goals, metrics, and appropriate analytics to measure the performance of Systems Engineering teams; continually makes recommendations and refinements on approaches based on learnings
• Reviews recommended solutions and work of Systems Engineers to ensure alignment with company, stakeholder, and end user priorities
• Leads configuration, debugging, and support for infrastructure
• Documents, reviews and ensures that all quality and change control standards are met
• Leads field and corporate roll-outs of technology
• Leads the stand up of necessary system software, hardware, and equipment (physical or virtual) to meet changing infrastructure needs
• Creates and optimizes specifications for complex technology solutions
• Provides regular status to leadership regarding progress of Systems Engineering efforts
• Manages vendor relationships
• Manages, reviews, and approves purchase requests for hardware and software
• Removes roadblocks and obstacles that may impair Systems Engineers to help ensure efforts meet strategic, financial, and technical goals
• Receives and prioritizes escalations and incoming requests from product teams and stakeholders
• Guides the production of in-house documentation around solutions
• Monitors tools and proactively helps teams struggling with systems issues
• Provides leadership, mentoring, and coaching to Systems Engineering professionals
• Attracts, retains, and develops top talent
• Conducts annual and mid-year reviews, reviewing individual development plans and providing performance feedback
• Fosters collaboration with team members to drive value, and identify and resolve impediments
• Advocates for the end user and stakeholder by becoming associated with the product, empathizing with and understanding user needs
• Guides more junior team members in strategy, alignment, analysis, and execution tasks
• Participates in and contributes to learning activities around systems engineering core practices (communities of practice)

Requirements:

• Must be eighteen years of age or older
• Must be legally permitted to work in the United States
• 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
• 5 years of work experience
• Technical Leadership: Guide and mentor teams of SREs, infrastructure engineers, and operations staff, fostering a culture of continuous learning and engineering excellence
• Strategic Planning: Define and execute the long-term reliability roadmap, aligning technical goals with broader business objectives and product delivery schedules
• Talent Development: Recruit, retain, and develop top engineering talent. Conduct performance reviews, establish clear career paths, and manage skill-gap training
• Budget & Resource Management: Oversee departmental budgets, cloud spending, and vendor negotiations. Optimize resource allocation to balance cost with system performance
• Service Level Management: Define, measure, and enforce Service Level Objectives (SLOs), Service Level Indicators (SLIs), and Service Level Agreements (SLAs) across various product lines
• Incident & Crisis Management: Serve as the ultimate escalation point for high-severity incidents. Lead blameless post-mortems and ensure preventative action items are successfully implemented
• Capacity Planning: Anticipate system growth and scale infrastructure accordingly to prevent degradation during peak loads
• Chaos Engineering & Resilience: Champion chaos engineering practices and disaster recovery planning to proactively identify and mitigate systemic vulnerabilities
• Cloud & Infrastructure: Deep expertise in managing enterprise-scale environments across major cloud providers (Google Cloud Platform, AWS, or Microsoft Azure)
• Infrastructure as Code (IaC): Advanced knowledge of provisioning and configuration management tools such as Terraform, Ansible, Chef, or Puppet
• Observability & Telemetry: Strong proficiency in modern monitoring, logging, and tracing stacks (e.g., Datadog, Prometheus, Grafana, Splunk, New Relic, ELK stack)
• CI/CD & Automation: Experience overseeing robust continuous integration and deployment pipelines (e.g., Jenkins, GitLab CI, GitHub Actions) to ensure safe and rapid software releases
• Software Engineering Background: Proficiency in at least one or more programming languages (Python, Go, Java, or Bash) to guide automation efforts and participate in high-level architectural reviews
• Engineering Alignment: Partner closely with software development, QA, and security teams to build reliability into the software development lifecycle (SDLC) from day one ('Shift Left' reliability)
• Stakeholder Communication: Translate complex technical metrics and incidents into clear, actionable insights for non-technical executive leadership
• Vendor Management: Evaluate, select, and manage relationships with third-party SaaS and infrastructure providers, ensuring compliance and optimal service delivery
• Security Integration: Collaborate with InfoSec to ensure infrastructure complies with industry regulations (e.g., PCI-DSS, SOC2, HIPAA) and corporate security policies
• Access & Identity Management: Advocate for and implement least-privilege access models and robust audit logging across critical systems