Java Software Engineer

We are hiring an experienced Individual Contributor (IC) Java Backend Developer with a strong command over Java, Spring Boot, and RESTful microservices, along with working knowledge of Java 8+ features and SQL. The candidate should demonstrate practical experience in building APIs, handling moderate coding challenges, and collaborating within Agile delivery teams. The role focuses on backend module development, debugging, and integration in a microservices environment. Exposure to tools like Docker, Kafka, and AWS will be considered a plus.

Skill Category - Skill / Concept & Required Depth

Core Java - Java 11/17

Must have independently developed REST APIs or services using Java 11 or higher, with solid OOP practices, memory management, and concurrency constructs.

Spring Boot - Microservices, Dependency Injection

Should be capable of end-to-end microservice/API implementation with a clear understanding of dependency injection, controller/repository separation, exception handling, and request lifecycle.

Spring Batch - Batch Job Configuration

Must have worked on real-world batch jobs involving chunk-oriented steps or tasklets. Should understand job/step configuration, skip logic, and fault-tolerance mechanisms. Ownership of job orchestration is not mandatory.

SQL - Oracle SQL

Must be proficient in writing complex queries with joins, subqueries, indexes, and query optimization strategies for large datasets (10M+ rows).

REST API - Endpoint Development

Should have implemented multiple REST endpoints with a full understanding of HTTP methods, status codes, error schemas, and basic security headers (CORS, auth tokens).

Testing - JUnit 5, Mockito

Must have written unit and integration tests with 70%+ coverage, using Mockito for mocking dependencies and achieving isolated testability.

Build & CI Tools - Jenkins, Gradle/Maven

Must have hands-on experience configuring CI jobs in Jenkins and managing project builds via either Gradle or Maven. Deep scripting is not mandatory.

Logging - Log4j / SLF4J

Candidate must have integrated structured logging within applications using standard Java logging frameworks. Should be able to trace logs and debug using correlation IDs.

Version Control + IDE - Git, IntelliJ IDEA

Must be fluent with Git branching, merge conflict resolution, and IntelliJ debugging tools (breakpoints, stack trace analysis, thread dump navigation).

Problem Solving - Debugging & Production Issues

Must demonstrate structured debugging skills with prior examples of resolving real-time issues in staging or production environments.

Nice-to-Have Skills & Depth Expected

Monitoring - Splunk / ELK

Familiarity with log analysis using Splunk or ELK stack for error traceability and performance tracking. The candidate should have used these tools at least in read mode during production support.

Messaging - Kafka / IBM MQ / Solace

Understanding of messaging system concepts (producer/consumer, topic/queue, durable subscription). Practical experience with at least one such tool preferred.

CI/CD Pipeline - Harness

Exposure to automated deployment pipelines in Harness is a plus. Not mandatory if Jenkins is known.

Cloud - AWS (EC2, S3, Lambda)

Basic exposure to cloud deployment or using storage and compute services

Containers - Docker

Familiar with containerizing Spring Boot apps for deployment

NoSQL - MongoDB

Able to perform CRUD operations; understands use cases for schema-less data

Data Structures - Stack, Arrays, Sorting Logic

Able to solve basic-medium problems like max in stack, array traversal, etc.

Monitoring Tools - Grafana

Aware of dashboarding tools used in microservices environments