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Software Engineer I
Wayfair
Actively HiringFull-time
Location
Bangalore, India
Experience
0 years
Role
Software Engineer I
Salary
25-40 LPA
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Job Description
Wayfair is one of the world's largest online destinations for the home, making it easy for shoppers to find exactly what they want from a selection of more than 40 million items across home furnishings, décor, home improvement, housewares, and more.
Comms Batch atomic team
The Comms Batch atomic team sits within the Customer & Supplier Communications Pod. We own the systems that reliably generate, schedule, and deliver high-volume batch communications — order confirmations, shipment alerts, supplier notifications, and marketing-triggered messages — at Wayfair scale. Our pipelines process tens of millions of events per day with strict delivery SLAs, ensuring every customer and supplier receives the right message at the right moment through the right channel. We partner closely with real-time messaging, data platform, and product teams to continuously improve reliability, throughput, and personalization of communications at scale.
What You'll Do
- Implement well-scoped features and bug fixes within the batch communications pipeline, working from tasks assigned by your engineering manager or senior teammates
- Write clean, tested, production-ready code against our distributed messaging infrastructure
- Participate in code reviews, giving and receiving structured feedback to uphold team quality standards
- Contribute unit and integration tests that protect pipeline reliability and delivery SLAs
- Investigate and resolve clearly scoped on-call incidents under guidance from senior engineers
- Collaborate with adjacent teams on cross-functional feature work as directed
- Leverage AI tooling responsibly to accelerate coding, debugging, and test writing.
- Collaborate to drive initiatives for adoption of Agentic AI Tooling for SDLC.
Requirements/Familiarity
- Exposure to message queue systems (Kafka, RabbitMQ, SQS) or batch processing frameworks
- Familiarity with microservices architecture and REST APIs
- Experience with cloud infrastructure (GCP, AWS) or containerized environments (Docker, Kubernetes)
Required Skills
KafkaRabbitMQSQSmicroservices architectureREST APIs
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