Senior Java Developer ID90127
AgileEngine Kolkata, West Bengal, India
Software Development · 1,001-5,000 employees
About the role
Develop and maintain backend Java/Spring Boot services to ensure transactional consistency and reliability for global billing infrastructure. You will manage advertiser account data across multiple datastores and implement observability patterns to improve system resilience.
What they look for
Requirements
Requires 4+ years of backend engineering experience with Java, Spring Boot 3, and production microservices ownership. Candidates must have hands-on experience with event-driven distributed systems, GraphQL, and database management using JPA/Hibernate.
Benefits
Full description
We are looking for a Senior Java Developer to own core billing infrastructure that keeps advertiser accounts accurate and in sync across multiple datastores. This person builds Spring Boot services handling event-driven correctness and transactional consistency at scale.
The mandatory requirements are 4+ years of backend engineering with Java and Spring Boot 3, production microservices ownership, GraphQL, event-driven distributed systems using AWS SQS, Apache Kafka, or RabbitMQ, strong JPA/Hibernate and Spring Data JPA with MySQL/Aurora, testing with JUnit 5 and Mockito, Gradle multi-module builds, GitLab CI/CD, Datadog, and responsible use of AI coding assistants.
RECRUITMENT PROCESS
1. Application — Share a few details about your experience and background.
2. Coding Challenge — If applicable, complete it in the coding language you are most comfortable with.
3. Video Interview — Record a short video introduction in English.
4. Technical Interview or Hiring Manager Interview — Discuss your experience and fit for the role.
5. Offer — If it’s a match, you’ll receive an offer.
WHAT YOU’LL GAIN
- Remote work — Work from where you feel most productive.
- Local presence in India — Work in a structured and compliant environment aligned with Indian regulations.
- Competitive compensation in INR — Receive compensation in INR, plus support for learning, education, and wellness.
- Exciting projects — Work with modern technologies for global clients and fast-growing companies.
MUST HAVES
- 4+ years of hands-on backend engineering with Java and Spring Boot 3, building production microservices.
- Senior level with demonstrated ownership of production services in a distributed-systems environment.
- Experience with GraphQL, either building APIs with Netflix DGS or consuming them via the Apollo Java/Kotlin client.
- Hands-on experience with event-driven, distributed systems using AWS SQS, Apache Kafka, or RabbitMQ.
- Strong JPA/Hibernate and Spring Data JPA experience with MySQL/Aurora, including transactional design and optimistic locking.
- Proficiency writing JUnit 5 unit tests with Mockito and integration tests against live environments.
- Experience with Gradle multi-module builds.
- Experience with GitLab CI/CD pipelines.
- Experience with Datadog for metrics and monitors.
- Responsible use of AI coding assistants (e.g., GitHub Copilot, Claude) to accelerate development while maintaining code quality and correctness.
- Upper-Intermediate English level.
NICE TO HAVES
- Prior experience in the Billing or Payments domain.
- Experience with DynamoDB (AWS SDK v2) and/or MongoDB (Spring Data) in a multi-store architecture.
- Experience with Netflix DGS.
WHAT YOU WILL DO
- Develop and maintain backend Java/Spring Boot services, contributing feature development, bug fixes, and reliability improvements across BAM services.
- Solve problems around transactional consistency, event-driven correctness, notification reliability at scale, and safe multi-entity migrations for advertisers globally.
- Keep advertiser billing accounts accurate, compliant, and in sync across multiple datastores (MySQL, DynamoDB, MongoDB) and external platforms (Zuora).
- Deliver production-ready feature work and bug fixes via GitLab CI, with unit and integration test coverage meeting Jacoco gates.
- Strengthen system reliability through improved observability, resilience patterns, and safe canary and production deploys gated by Datadog monitors.
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