
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.
🕒 August 6
🇺🇸 United States – Remote
💵 $90k - $170k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
🧑💻 Full-stack Engineer
👻 Ghost score 26%
AWS
Azure
Cloud
Google Cloud Platform
Java
JavaScript
NoSQL
Python
PyTorch
Scikit-Learn
SQL
Tensorflow
TypeScript
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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.
• Independently develop and assist in designing products that customers and associates use • Create, deploy, and support production applications • Participate in configuration, security, resilience, performance tuning, and production monitoring • Collaborate and pair with UX, engineering, and product management team members to create secure, reliable, scalable software solutions • Document, review, and ensure quality and change control standards are met • Work with the Product Team to make user stories developer-ready, understandable, and testable • Write custom code or scripts to automate infrastructure, monitoring services, and test cases • Write custom code or scripts for destructive testing and production resiliency • Perform program configuration, modification, and setup activities on large projects using approved methodology • Configure commercial off-the-shelf solutions to align with business needs • Create dashboards, logging, alerting, and responses to proactively capture and address issues • Participate in learning, agile processes, team improvement, and collaborative partnership activities
• Must be eighteen years of age or older • Must be legally permitted to work in the United States • 1–3 years of relevant software development or engineering experience preferred • Experience programming in Python and at least one object-oriented programming language (Java preferred) • Experience developing, integrating, or supporting AI/ML solutions, including machine learning models, generative AI applications, LLMs, or AI-powered services • Experience using AI development frameworks and tools such as PyTorch, TensorFlow, Scikit-learn, LangChain, OpenAI/Azure AI services, or similar technologies • Experience writing and optimizing SQL queries against relational databases • Experience with relational and NoSQL database technologies • Experience with source code management and version control systems (Git preferred) • Experience with front-end technologies such as HTML, CSS, JavaScript, and TypeScript frameworks • Experience with cloud computing platforms and cloud-native application development (Azure, AWS, or GCP) • Experience with CI/CD pipelines, DevOps practices, and automated deployment tools • Experience building and supporting microservice-based architectures and APIs • Experience with modern debugging, monitoring, and root cause analysis techniques • Exposure to AI model evaluation, prompt engineering, model tuning, or MLOps practices • Exposure to security frameworks for user and service authentication and authorization • Experience creating and executing unit, functional, integration, performance, and automated tests • Understanding of software engineering best practices, including code reviews, testing, documentation, and agile development methodologies • Bachelor's degree or equivalent degree in a field of study related to the job
Apply Now🕒 August 6
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