Application Operations Engineer

Application Operations Engineer (Java Platform)

Bengaluru, KA

Required Skills:

• Strong hands-on experience in

  Java

• Good knowledge of

  Linux scripting

• Minimum

  3 years of experience supporting Java-based applications

  (including

  JVM

  tuning and

  Garbage Collection

  )
• Familiarity with

  Grafana

  or similar monitoring tools
• Experience as a

  Java developer

  in a

  CI/CD environment

About the Role

• Incident Response & On-Call Support

• Serve as primary responder for production incidents; participate in on-call rotation for Java platform services.
• Investigate and diagnose application-level problems (e.g., memory leaks, GC pauses, thread deadlocks, CPU bottlenecks).
• Execute short-term fixes such as restarting services, modifying configurations, or managing deployment rollbacks.
• Escalate critical issues to development teams or dependent stakeholders when needed.

• Operational Maintenance

• Conduct recurring system maintenance: monthly framework upgrades, dependency patching, configuration validation.
• Monitor and audit application health, performance, and availability using internal tools and dashboards.
• Maintain and improve runbooks, response procedures, and documentation.

• Collaboration & Observability

• Collaborate with engineering teams during production deployments or rollouts.
• Analyze application metrics, logs, and traces to identify system issues or inefficiencies.
• Partner with infrastructure, database, and observability teams to tune systems for performance and reliability.

Required Qualifications

• 3+ years of hands-on experience supporting Java-based applications in a production environment.
• Solid understanding of the Java runtime (JVM, memory management, garbage collection, threading).
• Proficient with tools for diagnosing and monitoring Java applications (e.g., jstack, jmap, Grafana, Prometheus).
• Strong knowledge of Linux systems, shell scripting, and common command-line tools.
  Ability to troubleshoot infrastructure issues related to CPU, memory, IO, and networking.
• Strong verbal and written communication skills to coordinate across teams.
• Experience with on-call support and managing high-severity incidents.

Preferred Qualifications

• Experience working with

  Apache Flink, Apache Spark

  , or other distributed data processing frameworks in production.
• Familiarity with operational patterns for diverse data systems including:

• Oracle databases

• Key-Value stores

  (e.g., Redis, RocksDB)

• Document databases

  (e.g., MongoDB or similar)

• Graph databases

  (e.g., Neo4j, JanusGraph)
• Understanding of production concerns like data consistency, latency, availability, and failure handling.
• Exposure to container-based environments (Docker, Kubernetes).