Staff Software Engineer – Cloud Platform Products

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $120k - $190k / year

⏰ Full Time

🔴 Lead

☁️ Cloud Engineer

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The Home Depot

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1978

🏗️ Construction

📦 Logistics

🛒 Retail

💰 Debt Financing on 2007-07

Construction • Logistics • Retail

The Home Depot is a leading home improvement retailer, offering a wide range of building materials, home improvement products, lawn and garden products, and related services. The company operates both physical stores and an online platform, providing comprehensive solutions for DIY enthusiasts, professional contractors, and homeowners. The Home Depot is committed to diversity, equity, and inclusion, providing employment opportunities and benefits to a diverse workforce. Additionally, the company places a high emphasis on customer service and associate engagement to maintain its position as a trusted leader in the home improvement industry.

📋 Description

• Own technical delivery of cloud platform products supporting agentic workloads from design through release and ongoing operation • Break ambiguous initiatives into sequenced, executable work and maintain predictable, incremental, low-risk delivery • Identify and remove technical blockers, dependencies, and bottlenecks • Build reusable services, libraries, templates, paved paths, and automation • Establish and improve CI/CD, progressive delivery, IaC/GitOps, testing, and release practices • Champion AI-assisted development and agentic workflows • Contribute hands-on code to complex, high-risk, and critical-path work • Track delivery health metrics and drive improvements • Drive adoption through documentation, reference architectures, self-service workflows, and developer experience improvements • Define technical vision, architecture, and long-term evolution of cloud platform products • Lead design and architecture reviews and technical deep dives • Evaluate and adopt emerging technologies in AI infrastructure, LLM gateways, agent runtimes, MCP/tool integration, model serving, and orchestration • Partner with architecture, security, and reliability teams to meet enterprise standards • Define SLOs, observability, alerting, runbooks, and on-call readiness • Serve as technical escalation point for complex production incidents and lead root cause analysis • Design for supportability, scalability, high availability, and cost efficiency • Mentor and develop engineers through coaching, design guidance, code reviews, and pairing • Raise engineering standards and delegate technical ownership to grow technical leaders • Foster communities of practice in cloud-native development, agentic AI, and platform engineering

🎯 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 • 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 • Minimum 7 years of work experience • Bachelor's degree or equivalent in a related field • Preferred: 8+ years of software engineering experience with demonstrated technical leadership across large-scale platforms or distributed systems • Deep expertise in Golang, Google Cloud, Kubernetes, IaC, GitOps, automation, CI/CD, progressive delivery, observability, cloud security, and platform engineering • Experience building platforms for agentic AI workloads, including LLM gateways, agent runtimes, model serving, MCP integration, orchestration layers, and vector databases • Experience designing developer platforms, APIs, and self-service experiences • Experience partnering with SRE/Reliability Engineering to build highly available production systems • 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 • Google Cloud Professional certifications are a plus

🏖️ Benefits

• Remote/Virtual work arrangement • Typically requires overnight travel less than 10% of the time • Professional development through technical coaching, design guidance, code reviews, pairing, continuous learning, and hands-on experimentation • Opportunity to work with emerging technologies in AI infrastructure, agentic AI, and cloud platforms