About the role
About this opportunity
In this role, you will be part of a backend engineering team that builds and evolves services supporting BEES' global B2B commerce platform. You will work on scalable, resilient systems that enable smooth and reliable experiences for retailers and sellers, collaborating with teammates across different regions and functions.
What you will do:
Develop and evolve backend microservices in Javausing Spring Bootwithin a large-scale platform.
Work on architectures based on REST APIsand Event-Drivensystems, contributing to flows across multiple service layers (BFF, domain services, async consumers).
Implement and maintain integrations with messaging brokers (RabbitMQ- topic exchanges, listeners, dead-letter queues, retry strategies).
Work with data persistence in MongoDB(document modeling, compound indexes, multi-tenant collections).
Work with Redisfor caching, idempotency and concurrency control.
Actively participate in technical refinements, proposing improvements and challenging approaches.
Ensure quality through testing practices (unit tests with JUnit/Mockito, integration tests).
Contribute to refactoring and structural improvements with focus on maintainability.
Participate in code reviews with attention to SOLID principlesand Clean Code.
Troubleshoot and resolve bugsusing root cause analysis, distributed tracing, and log correlation.
Work with observability practices(monitoring, structured logging, dashboards, and alerts).
Integrate with external microservices via RESTclients (timeout, retry, circuit breaker patterns).
Adopt and understand technical documentation (ADRs, architectural diagrams).
We are looking for people with:
Git (feature branches, pull requests, code review workflow).
Java +17 with Spring Boot(Spring Web, Spring Data, Spring AMQP).
Messaging systems(RabbitMQ, Kafka, SQS, or similar).
Redis(distributed locks, caching TTL).
DevOps fundamentals(Docker, Kubernetes, CI/CD pipelines).
Cloud platforms(Azure, AWS, or similar).
REST clientintegration patterns (timeout, retry, resilience).
Technical documentation (UML, ADRs)
Experience using AI Agentsto improve development productivity.
Informações adicionais
Who should apply?
This opportunity is for professionals who enjoy working on backend systems at scale and collaborating with others to solve meaningful problems. You should be comfortable contributing to technical discussions, open to learning continuously, and motivated to build reliable solutions that make a real impact on our users and business.
Originally posted on Himalayas
