Note: The job is a remote job and is open to candidates in USA. The Home Depot is seeking a Senior Software Engineer for their Technology Insights team. This role involves designing, building, and operating data pipelines and backend services to provide actionable metrics for engineering leaders, while adopting AI-native engineering practices.
Responsibilities
- Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide; Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm; Consistently achieves results, even under tough circumstances; Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production; Takes a broad view when approaching issues; using a global lens
- Learns through successful and failed experiment when tackling new problems; Actively seeks ways to grow and be challenged using both formal and informal development channels
- Collaborates with other team members in agile processes; Creates new and better ways for the organization to be successful; Works the Product Team to ensure user stories are valuable, developer ready, easy to understand and testable; Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; Adapts approach and demeanor in real time to match the shifting demands of different situations; Relates openly and comfortably with diverse groups of people
- Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions
Skills
- Must be eighteen years of age or older
- Must be legally permitted to work in the United States
- 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
- 3-5 years
- 3-5 years of experience
- Experience building and operating production services on Google Cloud Platform, including BigQuery
- Familiarity with engineering metrics and DORA-style measurement (deployment frequency, lead time, change failure rate) and a healthy skepticism toward vanity metrics
- Proficiency in Go, React, and TypeScript — our backend services are primarily Go, with React/TypeScript front ends for internal dashboards and tools
- Prompt engineering experience and exposure to building or operating LLM-backed agents or tools, including integrating them with developer-tool APIs to extract and reconcile data across systems of record
- Comfort working in a small platform team supporting many internal stakeholders — able to triage ambiguous requests, push back on scope, and ship incrementally rather than boiling the ocean
- Strong data instincts: comfortable writing and reasoning about SQL against BigQuery datasets, and translating messy operational data into something a director or VP can act on
- Prior experience in a role that sits between a platform team and its internal customers — i.e., you've had to explain why a metric means what it says, not just compute it
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