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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer II - **Company:** Chewy, Inc. - **Location:** Boston, MA, United States - **Experience:** Experienced - **Salary:** $120,000.0 - $190,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Automation of Tests, Big Data, Cloud Computing, Continuous Integration, Extract Transform Load (ETL), Data Structures, Software Debugging, Programming Tools, Distributed Computing Environment, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Scrum Methodology, Azure Machine Learning, SQL Databases, Workflow Management Systems, Data Ingestion, Large Language Models, Prompt Engineering, Apache Spark, Model Validation, Generative AI, Pandas, Build Management, Containerization, Pyspark, Scikit Learn, Kubernetes, Information Technology, Machine Learning Operations, GPT, Software Version Control, Data Pipelines, Docker, Microservices - **Published:** June 6, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b09ade6f09c89eb1 ## About the Role Do you have experience in Version control systems?, * Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field * 3-5 years of experience in Python development, with strong knowledge of data and ML libraries (e.g., pandas, PySpark, scikit-learn, PyArrow) * Hands-on experience building and maintaining ETL/data pipelines and working with large-scale datasets * Experience with SQL and strong understanding of data modeling, transformations, and data quality * Experience with cloud platforms (AWS preferred) and distributed data processing systems * Familiarity with software engineering fundamentals (OOP, data structures, testing, version control) * Exposure to machine learning workflows and model lifecycle management * Ability to work in a fast-paced environment and take ownership of deliverables Bonus * Experience with LLMs, generative AI, prompt engineering, or SSD * Familiarity with AI-assisted development tools (e.g., Copilot, Claude, GPT-based workflows) * Experience with Spec-Driven Development (SDD) or test/spec-first development approaches * Experience with MLOps tooling (MLflow, Airflow, Kubeflow, SageMaker, etc.) * Experience building data pipelines with Spark, Airflow, or similar orchestration tools * Familiarity with containerization and orchestration (Docker, Kubernetes) * Experience with CI/CD pipelines and automated testing frameworks * Understanding of model validation, monitoring, and production reliability practices * Experience working in an agile environment (Scrum, Kanban) * Passion for building platforms that enable scalable, high-quality data science and AI systems ## Description Chewy is seeking highly driven and passionate early-career professionals to join our team in Boston, MA as Software Engineers. In this role, you will build and scale platforms that power Chewy's Data Science and AI capabilities, enabling teams across the company to develop, evaluate, and deploy machine learning and generative AI solutions at scale. You will work on infrastructure supporting forecasting, optimization, experimentation, and real-time decision-making, while helping evolve our development practices toward Spec-Driven Development (SDD) and AI-assisted engineering helping Chewy deliver on its mission to be the most trusted and convenient destination for pet parents. What You'll Do * Design and build scalable data pipelines (ETL/ELT) and services that support training, evaluation, and deployment of machine learning and AI models * Develop and maintain ML platforms and tooling for experimentation, simulation, and production model serving * Implement data ingestion, transformation, and validation workflows to ensure high-quality, reliable datasets for modeling * Contribute to Spec-Driven Development (SDD) practices by translating requirements into testable specifications and automated validation workflows * Leverage AI developer tools and LLM-assisted workflows to accelerate development, testing, and debugging * Build and integrate APIs, microservices, and orchestration pipelines for end-to-end ML lifecycle management * Collaborate closely with Data Scientists, Engineers, and Product Managers to understand modeling workflows and improve developer experience * Write clean, maintainable Python code and contribute to CI/CD pipelines, automated testing, and production readiness * Participate in building next-generation solutions using LLMs, prompt engineering, and retrieval-augmented generation (RAG) patterns ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)