Senior Java Developer ID90127

AgileEngine, LLC.; Pune District; Remote; INR 2,600,000 - 4,000,000; Full time

Benefits offered by this job

Remote work

Local presence in India

Competitive INR compensation

Learning & wellness support

Exciting projects

Job summary

AgileEngine, LLC. is seeking a Senior Java Engineer to develop and maintain backend services for distributed billing and account management systems.

You will work on production-grade microservices using Java 17+ and Spring Boot 3, with GraphQL integration and an emphasis on transactional integrity across multiple datastores. The role requires ownership of production services in a distributed environment, with hands-on experience in event-driven architectures using AWS SQS, Kafka, or RabbitMQ.

Qualifications

• 4+ years of hands-on backend engineering with Java and Spring Boot 3.

Responsibilities

• Develop and maintain backend Java/Spring Boot services for billing and account management.
• Solve transactional and event-driven challenges in a distributed system.
• Ensure data consistency across MySQL, DynamoDB, and MongoDB.
• Deliver features and fixes via GitLab CI with unit and integration tests.
• Improve observability, reliability, and deployment safety with Datadog monitors.

Skills

Java

Spring Boot 3

GraphQL

Kafka

RabbitMQ

JPA/Hibernate

MySQL/Aurora

JUnit 5

Mockito

Gradle

GitLab CI/CD

Datadog

AWS SQS

Tools

Zuora

DynamoDB

MongoDB

Job 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.

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.

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.