Java Production Support

Production support Java

• Common Stack & Tools
• Backend: Core Java, Linux/Unix command knowledge
• Database: PostgreSQL / MySQL / Oracle
• Platform: IBM OpenShift / Windows / Azure / Linux
• Monitoring: Dynatrace or equivalent infra monitoring tool, Splunk or equivalent log monitoring tool
• Ticketing & Tracking: ServiceNow or equivalent ticketing tool, Rally or equivalent tracking tool
• Batch Scheduler: ESP or equivalent scheduler

Java Production Senior Support Engineer (3–5 Years)

• Scope & Impact
• Contribute to the production support and operational stability of assigned applications/domains.
• Work closely with senior engineers and crossfunctional teams to ensure timely incident resolution and smooth daytoday operations.
• Provide technical inferences around system behavior, performance, and recurring issues.
• Support initiatives to maintain high availability, reliability, and resilience across customerfacing and critical applications.

• Core Responsibilities
• Ensure stable production operations through active monitoring, alert handling, and proactive issue detection.
• Manage the incident lifecycle (P2–P5) including triage, analysis, coordination, and resolution under guidance for P1 issues.
• Assist in root cause analysis, resolution of recurring issues, and implementation of preventive measures.
• Maintain and update runbooks, SOPs, playbooks, and knowledge base to support consistent operations.
• Support and enhance the observability setup—dashboards, alerts, logs, metrics.
• Collaborate with DevOps/SRE teams on automation, self-heal scripts, and reduction of manual tasks.
• Provide operational support across L1/L2 activities and contribute to L3 investigation under guidance.
• Participate in oncall rotations and adhere to team schedules and workload priorities.
• Communicate effectively with business and engineering teams on incident updates, impact, and resolutions.
• Ensure compliance with change management, audit needs, and security standards.
• Track and support improvements in key operational metrics such as SLA adherence, MTTA, and MTTR.

• MustHave Skills
• Strong foundation in incident, problem, and change management processes (ITIL v4 exposure preferred).
• Handson experience with observability tools such as Splunk, Dynatrace, AppDynamics, Datadog, Prometheus, or Grafana.
• Ability to troubleshoot across infrastructure layers—Linux/Windows OS, networking basics, and cloud fundamentals (AWS/Azure/GCP/OpenShift).
• Familiarity with CI/CD pipelines, build/release processes, and DevOps practices.
• Ability to read and debug Java code for issue diagnosis.
• Strong analytical skills and ability to work collaboratively within support teams.

• NicetoHave
• Basic knowledge of Python and automation scripting.

• AI & Responsible AI Expectations
• Basic understanding of prompt engineering and ability to leverage tools such as Copilot for productivity.