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# Software Engineer II

- **Company:** Chewy, Inc.
- **Location:** Bellevue, WA, United States
- **Experience:** Experienced
- **Salary:** $120,000.0 - $190,000.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Unit Testing, Big Data, Cloud Computing, Code Review, Continuous Delivery, Continuous Integration, Software Debugging, Python (Programming Language), Software Engineering, SQL Databases, Test-Driven Development (TDD), Cloudformation, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Terraform, Software Version Control, Docker
- **Published:** May 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=2c0ebdd709c5dc0b

## About the Role

Do you have experience in Software engineering?, Do you have a Bachelor's degree?, * Bachelor's degree (Computer Science or similar technical field of study preferred), or equivalent work experience.

 * 3+ years of professional software development experience building distributed and highly performant systems.
 * Strong proficiency in Python and SQL.
 * Excellent problem-solving skills and the ability to work independently in a fast-paced environment.
 * Proven ability to analyze business requirements and translate them into code.
 * Experience building high-quality systems, including unit testing and continuous integration / continuous deployment (CI/CD) pipelines.
 * Excellent oral and written communication skills including collaboration with both technical and non-technical customers.
 * Strong time management and organizational skills.
 * Team-oriented and have a customer first approach.

Bonus:

 * Experience with AWS Cloud Technologies.
 * Experience with containerization & orchestration tools (e.g. Docker, Kubernetes) and Infrastructure as Code tools (e.g., Terraform, CloudFormation).
 * Experience in Supply-chain and/or exposure with Operational Research space.

## Description

* Design, develop and implement highly performant optimization systems with large data volumes.
 * Collaborate with multi-functional teams, including data scientists, software engineers, and domain experts, to understand requirements and deliver effective solutions.
 * Solve data quality issues and identify root causes.
 * Write clean, maintainable, and efficient code following procedures in software engineering. Adhere to test-driven development and ensure that all code undergoes rigorous peer review.
 * Debug critical hard-to-solve production issues across services and tech stacks.
 * Advocate for and implement software engineering protocols, including version control, code reviews, unit testing, and continuous integration / continuous deployment (CI/CD) pipelines.


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