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

The Home Depot; New York (NY); Remote; USD 120,000 - 190,000; Full time

Job summary

The Home Depot is seeking an experienced Cloud Platform Lead to drive delivery of high‑impact cloud services for agentic workloads. You will own architecture, guide the team through complex technical decisions, and partner with security, reliability, and product leadership.

Lead design reviews, mentor engineers, and push for scalable, secure, and cost‑effective platforms on Google Cloud and Kubernetes. This role requires strong Go and IaC skills and a hands‑on mindset.

Qualifications

• Bachelor's degree in a related field; 7+ years in software engineering or equivalent.
• Experience leading architecture, technical decisions, and delivery across multiple applications or teams.
• Proficiency with Google Cloud Platform and Kubernetes (GKE) in production environments.

Responsibilities

• Owns technical delivery of cloud platform products for agentic workloads, from design through release and operation.
• Define architectural standards, patterns, and governance to enable safe self-service and cost controls.
• Lead design reviews and governance boards, aligning with security, compliance, and reliability.
• Mentor engineers, raise technical excellence, and build reusable platforms and tooling.
• Improve delivery health metrics and developer experience with CI/CD, IaC, and automation.

Skills

Cloud architecture leadership

Golang

Delivery leadership

AI-driven development

Mentorship

Education

Bachelor's degree in a related field

Tools

GKE

Kubernetes

Terraform

Helm

Argo CD

OpenTelemetry

Prometheus

Job description

Key Responsibilities

• 40% Delivery Leadership & Force MultiplicationOwns technical delivery of cloud platform products supporting agentic workloads, from design through release and ongoing operation, in partnership with the Software Engineer ManagerBreaks ambiguous initiatives into well-scoped, sequenced work that engineers can execute on independently, and keeps delivery predictable, incremental, and low-riskIdentifies and removes technical blockers, dependencies, and bottlenecks across the team and partner teams before they affect deliveryRaises team throughput by building reusable services, libraries, templates, paved paths, and automation that cut repeated effort and toilSets up and continuously improves the team's delivery practices, including CI/CD, progressive delivery, IaC/GitOps (Terraform, Helm, Argo CD), testing strategy, and release standardsChampions and models AI-assisted development and agentic workflows to measurably speed up how the team designs, builds, tests, and shipsContributes hands-on code on the most complex, highest-risk, or most critical-path work, and pairs with engineers to unblock and level them upTracks delivery health (lead time, deployment frequency, change failure rate, recovery time) and drives improvementsDrives adoption through clear documentation, reference architectures, self-service workflows, and developer experience improvements for both technical and non-technical users
• 30% Architecture, Technical Leadership & StrategyDefines and drives the technical vision, architecture, and long-term evolution of cloud platform products supporting agentic workloadsLeads the design of secure, scalable, resilient platform capabilities on Google Cloud and GKE that serve both engineering and non-engineering usersEstablishes architectural standards, engineering patterns, and governance guardrails (security, compliance, cost) that make safe self-service the defaultLeads design reviews, architecture reviews, and technical deep dives, and participates in enterprise review boards to drive consistencyPartners with Enterprise Architecture, Security, and Platform Reliability Engineering to ensure solutions meet enterprise standardsLeads evaluation and adoption of emerging technologies in AI infrastructure, LLM gateways, agent runtimes, MCP/tool integration, model serving, and orchestrationServes as a trusted technical advisor to the Software Engineer Manager and product leadership on roadmap feasibility, sequencing, and technical risk
• 15% Reliability, Support & Operational ExcellencePartners with Platform Reliability Engineering to define SLOs, observability, alerting, runbooks, and on-call readiness for every product before and after launchServes as the technical escalation point and leads technical response for complex production incidentsDrives root cause analysis and makes sure systemic fixes are prioritized and deliveredDesigns platforms with supportability, scalability, and cost efficiency built in from the startSupports highly available 24x7 retail operations
• 15% Mentorship & Engineering ExcellenceMentors and develops engineers through technical coaching, design guidance, code reviews, and pairing, with the explicit goal of growing their ability to deliver independentlyRaises engineering standards for quality, maintainability, security, and operational excellence across the teamDelegates meaningful technical ownership to grow other engineers into technical leadersFosters communities of practice in cloud-native development, agentic AI, and platform engineeringAdvocates for continuous learning and hands-on experimentation with emerging technologies

Direct Manager / Direct Reports

Reports to Software Engineer Manager

0 direct reports

Travel Requirements

Typically requires overnight travel less than 10% of the time

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)
• Extensive experience designing, building, and delivering distributed cloud-native systems
• Proficiency with Google Cloud Platform and Kubernetes (GKE) in a production environment
• Experience leading architecture, technical decisions, and delivery across multiple applications or teams

Preferred Qualifications

• 8+ years of software engineering experience with demonstrated technical leadership across large-scale platforms or distributed systems
• Proven track record of delivering complex platform initiatives end to end and measurably improving the delivery speed and quality of surrounding engineers and teams
• Deep expertise in Golang for cloud-native services, APIs, platforms, and developer tooling
• Expert-level knowledge of Google Cloud (GKE, IAM, Networking, Cloud Run, Pub/Sub, Cloud Storage, Load Balancing, Security)
• Expert-level experience with Kubernetes and container orchestration at scale
• Deep expertise in IaC, GitOps, and automation (Terraform, Helm, Argo CD)
• Extensive experience designing and running modern CI/CD and progressive delivery pipelines
• Experience building platforms for agentic AI workloads: LLM gateways, agent runtimes, model serving, MCP integration, orchestration layers, vector databases
• Experience designing developer platforms, APIs, and self-service experiences for both technical and non-technical users
• Strong observability experience: OpenTelemetry, Prometheus, Grafana, tracing, logging, SLOs, alerting
• Experience partnering with SRE / Reliability Engineering to build highly available production systems
• Strong understanding of cloud security, identity, secrets management, network policy, and governance controls
• Experience leading enterprise architecture reviews and influencing technical direction across teams
• Demonstrated ability to align engineering, product, architecture, security, and operations stakeholders
• Proven ability to mentor engineers and raise technical excellence across an organization
• Experience supporting highly available 24x7 retail platforms
• AI-driven mindset, using AI-assisted development and agentic workflows to improve engineering productivity and platform capabilities

Education

Minimum: the knowledge, skills, and abilities typically acquired through a bachelor's degree program or equivalent in a related field.

Preferred: no additional education.

Minimum Years of Work Experience

7

Preferred Years of Work Experience

8+

Minimum / Preferred Leadership Experience

None (technical leadership is covered under qualifications)

Certifications

None (Google Cloud Professional certifications are a plus)

Competencies

• Drives Results
• Plans and Aligns
• Develops Talent
• Collaborates
• Manages Ambiguity
• Cultivates Innovation
• Communicates Effectively
• Situational Adaptability
• Nimble Learning
• Interpersonal Savvy

Pay Range

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 $120,000.00 - $190,000.00