#136215 - Senior Backend Software Engineer - Java/Spring Boot

SmartRecruiters, Inc.; Bengaluru; Remote; INR 2,800,000 - 4,000,000; Full time

Job summary

Lifted, an Upwork Company, seeks a hands-on Senior Backend Software Engineer to build and evolve correctness-critical financial services. You will own production Java and Spring Boot 3 microservices that keep billing-account data accurate and synchronized across distributed systems and datastores.

Enterprise experience is strongly preferred. You will develop, test, and deploy features through GitLab CI/CD, optimize observability with Datadog, and ensure reliable event-driven workflows and safe

Qualifications

• Must have 5+ years of hands-on backend engineering experience with Java and Spring Boot 3.
• Ownership of production microservices in a distributed-systems environment.
• GraphQL experience via Netflix DGS or Apollo Java/Kotlin client.
• Hands-on production experience with AWS SQS, Kafka, or RabbitMQ.
• Strong JPA/Hibernate and Spring Data JPA experience with MySQL or Aurora.
• Transactional-design and optimistic-locking experience.
• Experience writing JPA entities and managing schema migrations against production MySQL/Aurora.
• Proficiency with JUnit 5 and Mockito for unit testing.
• Experience writing integration tests against live environments.
• Experience with Gradle multi-module builds.
• Experience with GitLab CI/CD pipelines.
• Experience using Datadog metrics and monitors.
• Using Datadog monitors as deployment quality gates in CI/CD.
• Experience integrating with external REST- or SDK-based platforms.
• Responsible use of AI coding assistants with independent review.

Responsibilities

• Develop and maintain production Java and Spring Boot services.
• Deliver features, bug fixes, and reliability improvements across distributed backend systems.
• Design reliable event-driven workflows with safe retry and idempotency behavior.
• Solve transactional-consistency, concurrency, and notification-reliability problems at scale.
• Design and execute safe entity and database-schema migrations.
• Integrate backend services with external REST- or SDK-based platforms.
• Maintain accurate and compliant billing-account state across datastores.
• Write unit and integration tests that meet coverage and quality gates.
• Deliver production-ready changes through GitLab CI/CD pipelines.
• Improve observability, resilience, and deployment safety via Datadog monitors and canaries.
• Use AI coding assistants responsibly with independent code validation.

Skills

Java

Spring Boot 3

GraphQL

Distributed systems

AWS SQS

Kafka

RabbitMQ

JPA / Hibernate

Spring Data JPA

Schema migrations

JUnit 5

Mockito

Integration testing

Gradle

GitLab CI/CD

Datadog

AI coding assistants

REST / SDK integrations

Tools

Netflix DGS

Apollo Java client

AWS SDK v2

MongoDB

DynamoDB

Job description

• Contract

Job Description

We are seeking a hands-on Senior Backend Software Engineer to build and evolve correctness-critical financial services. This role focuses on production Java and Spring Boot 3 microservices that keep billing-account data accurate, compliant, reliable, and synchronized across distributed services, multiple datastores, and external platforms.

Enterprise experience strongly preferred.

Key Responsibilities

• - Develop and maintain production Java and Spring Boot services.
• - Deliver features, bug fixes, and reliability improvements across distributed backend systems.
• - Design reliable event-driven workflows with safe retry and idempotency behavior.
• - Solve transactional-consistency, concurrency, and notification-reliability problems at scale.
• - Design and execute safe entity and database-schema migrations.
• - Integrate backend services with external REST- or SDK-based platforms.
• - Maintain accurate and compliant billing-account state across relational and non-relational datastores.
• - Write unit and integration tests that meet established coverage and quality gates.
• - Deliver production-ready changes through GitLab CI/CD pipelines.
• - Improve observability, resilience, and deployment safety through Datadog monitors and canary practices.
• - Use AI coding assistants responsibly while independently validating code quality and correctness.

Qualifications

Must-Have Skills

• - 5+ years of hands-on backend engineering experience with Java and Spring Boot 3.
• - Demonstrated ownership of production microservices in a distributed-systems environment.
• - GraphQL experience through either building APIs with Netflix DGS or consuming them with the Apollo Java or Kotlin client.
• - Hands-on production experience with at least one of AWS SQS, Apache Kafka, or RabbitMQ.
• - Strong JPA/Hibernate and Spring Data JPA experience with MySQL or Aurora.
• - Hands-on transactional-design and optimistic-locking experience.
• - Experience writing JPA entities and managing schema migrations against a production MySQL or Aurora database.
• - Proficiency with JUnit 5 and Mockito for unit testing.
• - Experience writing integration tests against live environments.
• - Experience with Gradle multi-module builds.
• - Experience with GitLab CI/CD pipelines.
• - Experience using Datadog metrics and monitors.
• - Experience using Datadog monitors as deployment quality gates in a CI/CD pipeline.
• - Experience integrating with an external REST- or SDK-based third-party platform.
• - Responsible use of AI coding assistants such as GitHub Copilot or Claude, with independent review and validation of output.

Nice-to-Have Skills

• - Prior experience in Billing or Payments.
• - Experience with DynamoDB using AWS SDK v2.
• - Experience with MongoDB using Spring Data.
• - Experience working across multiple datastores in one architecture.
• - Experience with Netflix DGS.
• - Experience integrating with Zuora or a comparable billing platform.

Additional Information

Required Tools & Platforms

• - Java and Spring Boot 3.
• - GraphQL with Netflix DGS or Apollo Java/Kotlin client.
• - AWS SQS, Apache Kafka, or RabbitMQ.
• - JPA/Hibernate and Spring Data JPA.
• - MySQL or Aurora.
• - JUnit 5, Mockito, and integration-testing tooling.
• - Datadog metrics and monitors.
• - REST APIs or third-party SDKs.
• - GitHub Copilot, Claude, or a comparable AI coding assistant.

Location, Time & Engagement

• - Candidates must be based in an eligible APAC location.
• - Full India Standard Time coverage is required.
• - This is a contract engagement at 40 hours per week.
• - The anticipated engagement runs through March 31, 2027.
• - This is not currently a contract-to-hire opportunity.