Our Opportunity
Chewy is seeking a full-stack Software Development Manager to join our Site Analytics Engineering team within our Boston MA hub location. In this unique player-coach role you will lead a small team that crafts builds and maintains the crucial applications and services powering Chewys analytics and experimentation platforms. Youll partner closely with our Storefront engineers and multi-functional Team Members to ensure detailed integration and high performance across web and mobile platforms. This key team currently owns the building and maintenance of our data and analytics infrastructure; we empower our Team Members with high quality data services behavioral (Clickstream) event tracking and experimentation (A/B testing) platform capabilities. As dynamic and forward-thinking leader of this org you will help define the technical direction of our event-driven analytics platform and grow your team through the development of scalable reliable backend systems that enable actionable insights and measurable business impact.
What Youll Do
- Manage a team that is designing building and maintaining scalable backend systems APIs and microservices that enable Chewys internal clickstream analytics experimentation and data platforms.
- Develop and operate event-driven architectures using Apache Kafka to support real-time data collection streaming and integration ensuring data accuracy and consistency across analytics pipelines.
- Architect and lead cloud infrastructure on AWS in partnership with DevOps with an emphasis on scalability high availability fault tolerance and disaster recovery.
- Implement robust fault-tolerant data services that ingest process and deliver trillions of daily events to downstream systems supporting operational dashboards reporting and experimentation frameworks.
- Guide your team to automate infrastructure provisioning using Terraform and Git-based workflows to deploy scalable containerized applications. Champion infrastructure-as-code standard methodologies across the team.
- Ensure reliability and performance of critical services through observability (e.g. Datadog Grafana) active monitoring and resolution of performance bottlenecks in high-throughput environments.
- Implement secure authentication and authorization mechanisms including SSO RBAC IAM policies secrets management and vulnerability mitigation.
- Collaborate multi-functionally with frontend engineers data engineers data scientists and product managers to understand requirements and translate them into backend solutions aligned with Chewys business goals.
- Drive an engineering environment that prioritizes technical excellence and continuous improvement through documentation mentorship and partnership while upholding Chewys standards for data security compliance and partner trust.
- Crafting innovative technical ideas (e.g. why a unified metric needs a certain definition or how a new infrastructure change will reduce latency) to both technical and non-technical partners.
What Youll Need
- 6 years of professional backend software engineering experience building and contributing to the design or architecture of large-scale systems in data-intensive environments.
- 2 years of experience directly managing backend or full-stack engineers with a track record of building and delivering high-impact platform solutions.
- Bachelors Degree in Computer Science (or similar math/engineering subject area) or equivalent professional work experience.
- Proficiency in Java or Kotlin with a strong understanding of building high-scale distributed systems and microservices.
- Experience building and deploying containerized applications and services using Docker and Kubernetes.
- Expertise in event-driven architecture design with a focus on scalability and fault tolerance.
- Hands-on proficiency with Apache Kafka or similar event-streaming platforms.
- Strong proficiency with AWS services such as EC2 ECS CloudWatch.
- Knowledge of modern data stores and query engines including Snowflake Databricks Azure or Amazon Redshift.
- Experience with Terraform and observability tools such as Datadog Dynatrace CloudWatch and Grafana.
- Previous work building data platforms experimentation frameworks or site analytics in a high-growth or e-commerce setting.
- Proficiency in SQL databases (e.g. MySQL PostgreSQL) for schema design query optimization and data modeling.
- Nice to have: Frontend development skills using TypeScript/JavaScript.
Join us to build foundational systems that power Chewys data-driven decisions and elevate our customer experience through analytics and experimentation!
Required Experience:
Manager