About The Position

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 be given a chance to contribute to the machine learning platforms and products we create and help grow the next generation of engineering talent.

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 Java)
  • Must be legally permitted to work in the United States

Nice To Haves

  • Experience with algorithms such as clustering, forecasting, anomaly detection, and neural networks.
  • Experience with basic statistics and regression algorithms
  • Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, Scikit-learn, tensorflow, pytorch, etc.
  • Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML
  • Experience in effective data engineering practices and big data platforms such as BigQuery, etc
  • Experience in a modern scripting language (preferably Python)
  • Experience in modern web application framework such as Node.js
  • Experience in a front-end technology and framework such as HTML, CCS, JavaScript, ReactJS, D3
  • Experience in writing SQL queries against a relational database
  • Experience in version control systems (preferable Git)
  • Experience in a Linux or Unix based environment
  • Experience in a CI/CD toolchain
  • Experience in REST and effective web service design
  • Experience with building AI Agents and Agentic Applications using frameworks like LangChain
  • Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security
  • Familiarity with NoSQL databases
  • Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide
  • Familiarity with defensive coding practices and patterns for high Availability
  • Familiarity with A/B testing and effective REST design for scalable web services architecture.
  • Familiarity with advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization.

Responsibilities

  • Delivery & Execution: Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions
  • Documents, reviews and ensures that all quality and change control standards are met
  • Writes custom code or scripts to automate infrastructure, monitoring services, and test cases
  • Works with vendors and partners for the successful implementation of critical tooling and platforms
  • Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
  • Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment
  • Evaluates new technologies for adoption across the enterprise
  • Participates in and leads review board sessions to drive consistency across the enterprise
  • Fills in on product teams for engineers who are out of the office
  • Support & Enablement: Fields questions from engineers, product teams, or support teams
  • Monitors tools and participates in conversations to encourage collaboration across product teams
  • Provides application support for software running in production
  • Acts as a technical escalation point for the engineers on the team
  • 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
  • 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
  • Guides team members in strategy, alignment, analysis, and execution tasks within and across product teams
  • Participates in and contributes to learning activities around modern software design and development core practices (communities of practice)
  • Learning: Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations
  • Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems

Benefits

  • health care benefits
  • 401K
  • ESPP
  • paid time off
  • success sharing bonus
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