Job Description
Our Opportunity
Chewy Ads business is growing rapidly and we're looking for experienced Senior Backend Engineers to help drive the evolution of our advertising platform powered by Machine Learning (ML). This role focuses on building scalable high-performance backend systems that power ad auctions targeting ranking bidding optimization and performance measurement. As Chewy continues to expand ML-driven capabilities across Ads this role will also play a critical part in enabling reliable scalable and observable ML systems in production. You'll help bridge backend engineering and ML Ops practices to ensure our models are production-ready continuously deployed and delivering measurable impact. You'll lead backend and platform development efforts mentor junior engineers and shape one of Chewy's fastest growing and most strategic revenue streams.
Launched in 2022 the Chewy Ads platform enables vendors to promote their products onsite and offsite significantly contributing to Chewy's revenue growth. The platform powers auction-based ad placements targeting and personalization systems performance reporting and optimization tools. The team manages both customer-facing and vendor-facing experiences while building backend systems and ML infrastructure that support bidding strategies ranking models relevance scoring and budget optimization.
Based in Boston and Seattle we operate with a startup mindset and maintain high operational rigor.
What You'll Do:
- Lead the architecture and delivery of scalable backend services supporting auction processing targeting ranking and reporting.
- Design and implement low-latency Java and Python services that power realtime ad decisioning systems.
- Improve system reliability scalability and performance through strong observability metrics and SLO-driven development.
- Design and implement production infrastructure to deploy serve and monitor ML models used for ad ranking targeting and optimization.
- Partner with Data Scientists to launch ML models including feature pipelines model packaging inference endpoints and A/B testing frameworks. o Build and maintain CI/CD workflows for ML artifacts enabling reproducible training versioning validation and deployment.
- Implement model monitoring systems to track performance drift data quality issues latency and business impact metrics.
- Contribute to feature store design real-time feature pipelines (Kafka-based) and batch processing systems.
- Support safe experimentation through controlled rollouts shadow testing and canary deployments of ML models.
- Ensure governance auditability and traceability of ML systems in production.
- Mentor junior engineers and raise the bar on engineering excellence across backend and ML-integrated systems.
- Lead technical design reviews and architectural discussions particularly for distributed and ML-powered systems. o Drive best practices around reliability observability automation and DevOps/MLOps standards.
- Own project estimation planning and delivery in partnership with Product Data Science and cross-functional stakeholders.
What You'll Need:
- Bachelor's degree in Computer Science or related field (or equivalent experience).
- 8+ years of experience as a Software Engineer with strong backend expertise.
- 3+ years of experience with MLOps.
- Proven experience building scalable highly available distributed systems.
- Hands-on experience deploying managing and operating ML workloads in AWS SageMaker including model training deployment endpoints batch transform jobs model versioning and monitoring.
- Experience launching ML models and partnering closely with Data Science teams to move models from experimentation to reliable production systems.
- Strong understanding of MLOps practices including model CI/CD artifact versioning reproducibility automated validation and rollout strategies (canary shadow A/B).
- Experience building or supporting real-time inference services and/or asynchronous ML pipelines.
- Experience deploying and operating services in AWS cloud environments (ECS/EKS Lambda S3 IAM etc.).
- Solid understanding of streaming systems (Kafka) data pipelines and SQL/NoSQL storage systems.
- Experience with observability tooling for both services and ML systems (metrics tracing logging drift detection).
- Strong debugging and performance optimization skills.
- Solid CS fundamentals: object-oriented design algorithms and problem-solving.
- Excellent verbal and written communication skills.
Bonus:
- Experience in Ad Tech and/or e-commerce.
- Experience building large-scale ranking auction or recommendation systems.
The base salary range for this role is $141000 - $225000.00.
- The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate's relevant experience education and work location. In addition this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.
We offer different types of insurance and benefits such as medical/Rx vision dental life disability hospital indemnity critical illness and accident. We offer parental leave family services benefits backup dependent care flexible spending accounts telemedicine pet adoption reimbursement employee assistance program and many discounts including 10% off pet insurance and 20% off at Chewy.com.
Exempt salary team members have unlimited PTO subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color ancestry national origin gender citizenship marital status religion age disability gender identity results of genetic testing veteran status as well as any other legally-protected characteristic. 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 [email protected].
To access Chewy's California CPRA Job Applicant Privacy Policy please click here.
Top Skills
What the Team is Saying
What We Do
We view pets and pet parents as family and are obsessed with meeting their needs and exceeding customer expectations through every interaction. Behind the scenes our talented teams are made up of innovators delighters big-thinkers and of course passionate pet people—creating a place where you'll be empowered to build grow and unleash your fullest potential. We don’t just stand by our company mission—we’re obsessed with it. We seek to be the most trusted and convenient destination for pet parents and partners everywhere. And we’re constantly finding new ways to do just that. At Chewy we understand pet parenthood is full of joyful highs and anxious lows. That’s why we’re here standing alongside pet parents providing everything their pets need for a happy healthy life. We’re a leading online source for pet products supplies and prescriptions. We offer a broad selection of high-quality products and services at competitive prices with an exceptional level of customer care and a personal touch. Since launching in 2011 we’ve combined the personalized service of your neighborhood pet store with the convenience and speed of e-commerce. We pride ourselves on being the only brand available 24/7/365 to support pet parents throughout their journey. We have a rich history of being recognized for our deep care and personalization while going above and beyond for our customers and their pets. We view pets and their people as more than just customers and look forward to meeting their needs and exceeding expectations through every interaction. With Chewy no one pet-parents alone. Our culture is for those who thrive on delivering results and becoming your best—no matter your role or location. At Chewy our Operating Principles serve as a common language or framework that connects two of Chewy's most valuable elements—our people and our culture. The Operating Principles guide our character capabilities imagination and methods for execution in support of our company's mission.
Why Work With Us
We're proud to be one of the fastest growing e-commerce companies of all time. With growth comes the exciting opportunity to be a part of a world-class organization of engineering product and design team members responsible for driving our latest innovations and designing "out-of-the Chewy box" experiences.
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Date Posted
04/11/2026
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