Java production support

7 - 12 years

7 - 12 Lacs

Posted:4 days ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Java Production Support Engineer

Key Responsibilities:

  • Provide

    L2/L3 support

    for Java-based production applications.
  • Investigate, analyze, and resolve technical issues in a

    timely

    and

    efficient

    manner.
  • Monitor application performance and ensure system stability using monitoring tools (e.g., Splunk, Dynatrace, AppDynamics).
  • Perform

    root cause analysis (RCA)

    and coordinate with development teams for permanent fixes.
  • Create and maintain

    incident tickets

    , logs, and documentation for recurring issues.
  • Develop scripts for

    automation

    , monitoring, and support tools using

    Shell

    ,

    Python

    , or similar.
  • Work closely with

    DevOps

    ,

    Development

    , and

    QA

    teams to deploy changes and hotfixes.
  • Ensure

    SLA adherence

    and work on

    continuous improvement

    of support processes.
  • Participate in

    on-call rotations

    for 24x7 support as needed.

Required Skills:

  • 712 years of total experience in

    Java/J2EE

    application support or development.
  • Strong experience in

    Spring Boot

    ,

    Microservices

    , and

    RESTful APIs

    .
  • Proficient in

    SQL

    , writing complex queries, analyzing DB issues (MySQL, Oracle, PostgreSQL).
  • Good understanding of

    application servers

    , logs, and monitoring tools.
  • Experience in

    Unix/Linux

    environments with scripting knowledge (Shell, Bash).
  • Strong

    problem-solving

    and

    troubleshooting

    skills.
  • Ability to read and understand Java code to support and debug production issues.

Preferred Skills:

  • Experience with

    cloud platforms

    (AWS, Azure, or GCP).
  • Knowledge of

    CI/CD tools

    (e.g., Jenkins, Git, Maven).
  • Exposure to

    incident and change management processes

    (ITIL framework).
  • Familiarity with

    message brokers

    like Kafka, RabbitMQ is a plus.
  • Understanding of

    container technologies

    (Docker, Kubernetes) is desirable.

Education:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

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Information Technology & Services

San Francisco

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