Software Engineer III

About the position

Chewy's Inventory Technology group builds the platforms that make real-time inventory visibility, placement, and movement possible across our entire supply-chain network. As an Engineer III you'll build and operate high-scale, event-driven services that keep millions of items in the right place at the right time. You will pair deep technical ownership with leadership in Chewy's Operating Principles-Debate Openly & Commit Fully, Operate at Depth, and Accelerate Time-while mentoring engineers and shaping our engineering culture.

Responsibilities

• Build and develop distributed systems using Java 8+, Spring Boot, and AWS components like Lambda, SQS, DynamoDB, S3, and API Gateway.
• Own features end-to-end: from RFC and architecture review through coding, deployment, and post-launch measurement.
• Lead on-call rotations; drive root-cause analysis, observability improvements, and operational excellence.
• Coach and improve engineers through design sessions, code reviews, and learning opportunities.
• Influence product direction by translating ambiguous business problems into resilient, scalable solutions.
• Advocate for standard methodologies in testing, secure coding, CI/CD, infrastructure-as-code (Terraform/CloudFormation), and performance tuning.
• Collaborate multi-functionally with product, data science, fulfillment ops, and partner engineering teams to align roadmaps with business outcomes.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field or equivalent experience.
• 7+ years of professional software-engineering experience (or 5+ with a track record of technical leadership on production scale systems).
• Expertise in Java, Spring Boot, and micro-services running in AWS.
• Strong grasp of distributed-system patterns (asynchronous messaging, event sourcing, eventual consistency).
• Proven ability to deliver from ideation through production support with minimal mentorship.
• Proficiency with Git, CI/CD pipelines.
• Excellent communication skills and comfort navigating ambiguity while balancing near-term execution with long-term strategy.

Nice-to-haves

• Experience in high-volume e-commerce, logistics, or supply-chain domains.
• Exposure to data-intensive architectures and observability stacks (Grafana, Datadog, Splunk).
• Working knowledge of modern front-end frameworks (React or Vue).