AgileEngine

Senior Java Developer ID90127

AgileEngine Pune City Subdistrict, Maharashtra, India

Software Development · 1,001-5,000 employees

23 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 production deployments.

What they look for

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

Requirements

Requires 4+ years of hands-on backend engineering experience with Java, Spring Boot, and distributed systems. Proficiency in GraphQL, event-driven architectures, and CI/CD pipelines is mandatory.

Benefits

Remote work Local presence in India Competitive compensation in INR Support for learning 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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