出海雷达

软件工程师经理 - 云平台产品 (代理工作负载)

Software Engineer Manager - Cloud Platform Products (Agentic Workloads)

AI开发工程限定地区(需当地身份)
公司HOME DEPOT U.S.A., INC.
薪资$140,000 - $240,000/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间14 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

在The Home Depot的职业生涯中,你可以做真实的自己,同时成为更大事业的一部分。
职位职责
作为软件工程师经理,你将领导团队构建云平台产品,支持The Home Depot的代理工作负载。你的产品面向广泛的用户群体:构建、部署和运行代理工作负载的工程团队,以及需要安全、受控环境来构建和运行自己应用及代理解决方案的非工程团队。你将对这些产品的交付负责,将平台战略转化为路线图,指导工程师完成设计、构建和发布,并确保每位用户——无论技术背景如何,都能以最小的摩擦从想法变为运行中的应用。你的团队将提供满足用户当前需求的体验,从简单的引导式部署到命令行工具和AI辅助指导,加速快速原型开发和以AI驱动的产品开发周期。
你将与平台可靠性工程团队紧密合作,从一开始就为这些产品构建支持、可观测性和可靠性,使其具备生产就绪、值班准备和扩展能力。你还将培养下一代工程人才,建立强大的平台工程文化。

主要职责
30% 交付与执行
· 负责支持代理工作负载的云平台产品的交付,从路线图和设计到发布和持续运营
· 与产品管理、用户体验、架构和消费团队(包括工程和非工程团队)合作,创建安全、可靠、可扩展的平台功能
· 与平台可靠性工程团队合作,定义每个产品的SLO、可观测性、警报、操作手册和值班准备度,在发布前和发布后都如此
· 确保符合质量、安全和变更控制标准;文档化并审查设计和发布
· 指导在Google Cloud和GKE上服务的设计和构建,使用基础设施即代码和CI/CD以小而安全的增量交付
· 通过清晰的文档、自助流程和针对不同受众的防护措施推动平台采用:为工程师提供已铺好的路径,为非技术人员提供简单且受控的体验
· 建立安全、治理和成本防护措施,使非工程团队能够安全地在平台上构建和运行工作负载
· 根据需要编写代码或脚本

查看英文原文

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
2-5

Travel Requirements
Typically requires overnight travel 5% to 20% of the time.

Physical Requirements
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

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
·
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
·
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
·
Develops Talent: Developing people to meet both their career goals and the organization's goals
·
Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives
·
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
·
Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear
·
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
·
Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations
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 $140,000.00 - $240,000.00Originally posted on Himalayas

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