Posted:15 hours ago|
Platform:
On-site
Contractual
We are hiring an experienced Individual Contributor (IC) Java Backend Developer with 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.
Must have independently developed REST APIs or services using Java 11 or higher, with solid OOP practices, memory management, and concurrency constructs.
Should be capable of end-to-end microservice/API implementation with clear understanding of dependency injection, controller/repository separation, exception handling, and request lifecycle.
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.
Must be proficient in writing complex queries with joins, subqueries, indexes, and query optimization strategies for large datasets (10M+ rows).
Should have implemented multiple REST endpoints with full understanding of HTTP methods, status codes, error schemas, and basic security headers (CORS, auth tokens).
Must have written unit and integration tests with 70%+ coverage, using Mockito for mocking dependencies and achieving isolated testability.
Must have hands-on experience configuring CI jobs in Jenkins and managing project builds via either Gradle or Maven. Deep scripting not mandatory.
Candidate must have integrated structured logging within applications using standard Java logging frameworks. Should be able to trace logs and debug using correlation IDs.
Must be fluent with Git branching, merge conflict resolution, and IntelliJ debugging tools (breakpoints, stack trace analysis, thread dump navigation).
Must demonstrate structured debugging skills with prior examples of resolving real-time issues in staging or production environments.
Familiarity with log analysis using Splunk or ELK stack for error traceability and performance tracking. Candidate should have used these tools at least in read mode during production support.
Understanding of messaging system concepts (producer/consumer, topic/queue, durable subscription). Practical experience with at least one such tool preferred.
Exposure to automated deployment pipelines in Harness is a plus. Not mandatory if Jenkins is known.
Basic exposure to cloud deployment or using storage and compute services
Familiar with containerizing Spring Boot apps for deployment
Able to perform CRUD operations; understands use cases for schema-less data
Able to solve basic-medium problems like max in stack, array traversal, etc.
Aware of dashboarding tools used in microservices environments
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