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

The Home Depot is hiring a Software Engineer Manager to lead teams delivering cloud platform products that enable agentic workloads for engineering and non-engineering users. The role owns product roadmaps and delivery, production readiness and reliability, and the growth and development of engineering talent.

Responsibilities:

• 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
• 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
• 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
• 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

Requirements:

• 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
• 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
• 5-7 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
• Google Cloud Professional certifications