AgileEngine

Senior Java Developer ID90127

AgileEngine Coimbatore North, Tamil Nadu, India

Software Development · 1,001-5,000 employees

19 h ago
Remote java Senior (5-10 yrs) Full-time India
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About the role

Develop and maintain backend Java/Spring Boot services for billing and account management systems. Ensure system reliability through observability, resilience patterns, and rigorous testing in a distributed environment.

What they look for

Java Spring Boot GraphQL Netflix DGS Apollo Java Event-driven systems Spring Data JPA Hibernate MySQL JUnit 5 Mockito Gradle GitLab CI/CD Datadog AWS SQS Apache Kafka

Requirements

Requires 4+ years of hands-on backend engineering experience with Java, Spring Boot, and distributed systems. Candidates must have strong proficiency in GraphQL, JPA/Hibernate, and CI/CD pipelines with an upper-intermediate English level.

Benefits

Remote work Local presence in India Competitive compensation in INR Learning support Education support Wellness support

Full description

We are looking for a Senior Java Engineer to develop and maintain backend services for distributed billing and account management systems.

The mandatory requirements are 4+ years of Java and Spring Boot experience, GraphQL with Netflix DGS or Apollo Java/Kotlin Client, event-driven systems, and strong Spring Data JPA and CI/CD experience.

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.

WHAT YOU WILL DO

- Develop and maintain backend Java/Spring Boot services, contributing feature development, bug fixes, and reliability improvements across billing and account management services.

- Solve problems involving transactional consistency, event-driven correctness, notification reliability at scale, and safe multi-entity migrations for advertisers globally.

- Keep advertiser billing accounts accurate, compliant, and synchronized across multiple datastores (MySQL, DynamoDB, MongoDB) and external platforms (Zuora).

- Deliver production-ready features and bug fixes through GitLab CI, ensuring unit and integration test coverage meets JaCoCo quality gates.

- Strengthen system reliability through improved observability, resilience patterns, and safe canary and production deployments gated by Datadog monitors.

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