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Wayfair - Senior Software Engineer - Java Backend Technologies

Wayfair
Multiple Locations
12 - 16 Years

Posted on: 12/12/2025

Job Description

Description :

We're looking for an experienced senior software engineer to join our highly impactful team to help us build and extend our Platform and services.


This Senior Software Engineer will help lead the team's efforts across various initiatives and is responsible for high standards of our engineering solutions that meet company objectives.


We have ambitious goals to shape the future of Wayfair, and we are looking for senior engineers to help accelerate and build upon the results we've delivered so far.

Responsibilities :

- Provide technical leadership to a focused team of 5 - 10 engineers.

- Work with a broader, highly collaborative cross-functional team that includes product managers, data scientists, and analysts.

- Own the technical vision for your workstream.

- Work with a variety of technologies, including Java, Hive, Spark, Kafka, Aerospike, Airflow, RESTful web services, gRPC, Kubernetes, and GCP offerings like BigQuery.

- Build platforms and services that allow us to make real-time ML-powered decisions that improve the customer experience.

- Deliver direct measurable results for our business and customers through improved product recommendations.

Requirements :

- A Bachelor's Degree in Computer Science, Data Science, or a related engineering discipline.

- At least 12 years of experience in a senior engineer or technical lead role.

- Experience developing and designing scalable distributed systems with a deep understanding of architectural and design patterns, object-oriented design, and modern programming languages.

- Excellent communication skills and ability to work effectively with engineers, product managers, data scientists, analysts and business stakeholders.

- Passion for mentoring and leading peer engineers.

- Experience designing APIs and microservices.

- Experience working on cloud technologies, specifically GCP, is a plus.

- Designing and developing recommendation systems and productionalizing ML models for real-time decisions, large-scale data processing and event-driven systems and technologies is a plus.


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