Staff Software Engineer - Backend, Python/Java

3 days ago

🦌 Connecticut – Remote

Although this job is listed in Connecticut, this company may be open to hiring remote in other states.

🦞 Maine – Remote

Although this job is listed in Maine, this company may be open to hiring remote in other states.

+2 more states

🦌 Connecticut – Remote 🦞 Maine – Remote 🍂 Massachusetts – Remote 🏰 Missouri – Remote

💵 $120k - $190k / year

⏰ Full Time

🔴 Lead

🔙 Backend Engineer

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The Home Depot

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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.

retail • home improvement • customer service

10,000+ employees

Founded 1978

🛒 Retail

👥 B2C

💰 Debt Financing on 2007-07

📋 Description

• The Staff Software Engineer is responsible for leading a team of engineers building and designing a product that our customers and associates love. • You will be part of a dynamic team with engineers of all experience levels. • Staff Software Engineers will assist in product and tool selection, configuration, security, resilience, performance tuning and production monitoring. • You will be expected to build and grow the skillsets of the more junior Engineers. • Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide.

🎯 Requirements

• 5-8 years of relevant work experience • LLM-Focused Backend Developer • Extensive experience with Python, and Scalable API development using FastAPI, Tornado • Machine Learning & Generative AI: Experience with LangChain, LlamaIndex, RAG Architecture, and Prompt Engineering is essential • Familiarity with LangSmith, LangGraph, or other agentic framework technologies • Vector Stores: Experience with technologies like Pinecone, Google Vector Store, Vespa, or AstraDB • NoSQL: Proficiency with BigTable, Cassandra, or HBase • Big Data Platforms: Experience with BigQuery, Apache Spark, and Apache Beam • Orchestration Tools: Familiarity with Google Cloud Composer or Apache Airflow • Relevancy experience: Search retrieval and ranking experience (Search engine like Elastic or Solr or Lucene based) • ML Ops experience: ML for retrieval and ranking like model training and deployment pipeline experience using Python and GCP tools like Vertex AI, Dataflow/Data proc jobs • Feature engineering for batch and runtime model inferences • General understanding of retrieval retrieval systems, concepts, challenges