Job Description

At Chewy, it is our mission to become the most trusted and convenient online destination for pet parents and our partners – vets and service providers – alike. Our success is measured by the happiness of the people and pets we serve, not simply by the amount of pet supplies we deliver. That’s why we continue to think of outside-the-Chewy-box ways to delight, surprise, and thank our loyal pet lovers! Are you looking for more than just a job? At Chewy, you’ll find yourself on a career path with other incredible humans, like yourself. You’ll be part of a culture that values everything that you do, who you are, and the goals you have set for your career. We want to give you the opportunity to grow, earn competitive pay, and be happy while you do it. Sounds simple, but we love it. Our Opportunity: Chewy is seeking a Software Engineer to join our Supply Chain Simulation technology team. In this role, you will combine an understanding of software development, simulation, and data transformation. You will play a significant part in crafting, implementing, and deploying simulation systems to support our business and address critical problems for our Fulfillment Operations. The ideal candidate will understand our business goals, collaborate across multi-functional teams, innovate rapidly, and deliver high-quality and high-value functionality. You will have the chance to create and develop Optimization and Simulation solutions best suited for different business problems and build engineering pipelines to streamline model deployment and testing. Does this sound like you? If so, we would love to hear from you! What You’ll Do: + Design, develop and implement highly performant simulation 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 best practices 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 best practices, including version control, code reviews, unit testing, and continuous integration / continuous deployment (CI/CD) pipelines. What You’ll Need: + 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. Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com . If you have a question regarding your application, please contact HR@chewy.com . To access Chewy's Customer Privacy Policy, please click here ( . To access Chewy's California CPRA Job Applicant Privacy Policy, please click here ( .

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