Software Engineer Manager - Cloud Platform Products (Agentic Workloads) (Remote)

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

Position Purpose

As a Software Engineer Manager, you will lead teams that build cloud platform products enabling and supporting agentic workloads at The Home Depot. Your products serve a broad audience: engineering teams building, deploying, and running agentic workloads on our core platform, and non-engineering teams who need a secure, governed place to build and run their own applications and agentic solutions.

You will be accountable for the delivery of these products, turning platform strategy into a roadmap, guiding your engineers through design, build, and release, and making sure every user, technical or not, can go from idea to running application with the least friction possible. Your teams will deliver experiences that meet users where they are, from simple guided deployment to command-line tooling and AI-assisted guidance, and that accelerate rapid prototyping and an AI-driven product development lifecycle.

You will partner closely with Platform Reliability Engineering to build support, observability, and reliability into these products from the start, so they are ready for production, on-call, and scale. You will also grow the next generation of engineering talent and build a strong platform-engineering culture.

Key Responsibilities

• 30% Delivery & Execution
• Owns delivery of cloud platform products supporting agentic workloads, from roadmap and design through release and ongoing operation
• Collaborates with product management, UX, architecture, and consuming teams (both engineering and non-engineering) to create secure, reliable, scalable platform capabilities
• Partners with Platform Reliability Engineering to define SLOs, observability, alerting, runbooks, and on-call readiness for every product before and after launch
• Ensures quality, security, and change control standards are met; documents and reviews designs and releases
• Guides the design and build of services on Google Cloud and GKE, using infrastructure as code and CI/CD to deliver in small, safe increments
• Drives adoption of both platforms through clear documentation, self-service workflows, and guardrails tailored to each audience: paved paths for engineers and simple, governed experiences for non-technical users
• Establishes security, governance, and cost guardrails that let non-engineering teams build and run workloads on the platform safely
• Writes code or scripts as needed to automate infrastructure, monitoring, and testing; participates in design and code reviews
• Participates in and leads review board sessions to drive consistency across the enterprise
• 10% Support & Enablement
• Fields questions from engineers, product teams, and support teams consuming the platform
• Serves as a technical escalation point for the team and participates in incident response and post-incident reviews
• Monitors adoption and feedback channels and turns them into product improvements
• Provides application support for software running in production
• 50% People
• Provides leadership, mentoring, and coaching to Software Engineers
• Attracts, retains, and develops top talent to build a world class Software Engineering Team
• Conducts annual and mid-year reviews by reviewing individual development plans and team feedback
• Manages team capacity, priorities, and workload across multiple products
• Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests
• Acts as a proponent of modern software development practices, including applying AI-assisted development to how the team works
• Participates in and contributes to communities of practice around modern software design and development
• 10% Learning
• Learns, through reading, tutorials, and hands-on experimentation, new technologies and best practices in cloud platforms, agentic AI, and platform engineering
• Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems
• Direct Manager / Direct Reports

Minimum Qualifications

• Must be eighteen years of age or older
• Must be legally permitted to work in the United States
• Mastery of an object oriented programming language (preferably Go)
• Proficiency with Google Cloud Platform and Kubernetes (GKE) in a production environment

Preferred Qualifications

• 5-7 years of relevant work experience, including experience leading or managing engineers
• Leadership experience and a strong technology mindset
• Mastery of Golang for building cloud-native services, APIs, and tooling
• Mastery of Google Cloud (e.g., GKE, IAM, networking, Cloud Run, Pub/Sub, Cloud Storage) and container orchestration with Kubernetes
• Mastery of infrastructure as code and GitOps practices (e.g., Terraform, Helm, Argo CD)
• Mastery of modern CI/CD and progressive delivery pipelines
• Experience building platforms or products that enable agentic and AI workloads, such as LLM gateways, agent runtimes, tool and MCP integration, model serving, or AI orchestration on cloud infrastructure
• Experience designing platforms, APIs, and self-service workflows with excellent documentation and user experience, including for non-technical users
• Proficient in observability practices: metrics, logging, tracing, SLOs, and alerting (e.g., OpenTelemetry, Prometheus, Grafana)
• Proficient in production support, incident management, and building reliability into products in partnership with SRE or reliability engineering teams
• Proficient in security fundamentals for cloud platforms, including identity, secrets management, and network policy
• Proficient in effective troubleshooting and issue resolution techniques
• Capable of understanding complicated systems quickly
• Experience in guiding more junior team members through Software Engineering fundamentals in a professional setting
• Experience managing and growing team members in a professional setting
• Experience balancing workloads across teams and managing multiple products
• Experience with translating high level strategy to tactical execution
• AI driven thinking, including applying AI and agentic workflows to accelerate engineering
• Proficiency in supporting a 24x7 retail operation
• Education
• Minimum: 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: no additional education.
• Years of Experience
• Minimum: 5
• Leadership Experience
• 5-7 years of relevant work experience, including experience leading or managing engineers
• Certifications
• None. (Google Cloud Professional certifications are a plus.)
• Competencies
• Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
• Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders
• Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
• Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals

The pay range for this position is between $140,000.00 - $240,000.00