Java Production Support

Cognizant; Bengaluru Urban; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Cognizant Bangalore is seeking a Java Spring Boot Kafka Production Support Engineer with 6-10 years of IT experience to support mission-critical apps in a production environment. You will handle incident management, monitoring, and performance tuning while keeping high availability and stability.

The role involves L2/L3 support for Java-based microservices, Kafka topic troubleshooting, and collaboration with development and operations teams. Full-time onsite in Bangalore with rotation shifts.

Qualifications

• 6–10 years IT experience, production support focus.
• Strong Java 8/11/17 and Spring Boot expertise.
• Experience with Kafka in production environments and monitoring.
• Solid SQL knowledge and debugging in complex systems.
• Familiarity with incident, problem, and change management.

Responsibilities

• Provide L2/L3 production support for Java-based enterprise apps.
• Monitor health, troubleshoot incidents, ensure SLA adherence.
• Analyze logs and perform RCA for critical issues.
• Support microservices built with Spring Boot and Kafka topics.
• Coordinate deployments and on-call rotations.

Skills

Java

Spring Boot

REST APIs

Multithreading

Tools

Apache Kafka

Kafka Monitoring

Jenkins

Git

Maven

Kubernetes/OpenShift

Splunk

ELK

Grafana

Dynatrace/AppDynamics

Prometheus

Job description

Job Description: Java Spring Boot Kafka Production Support Engineer (6-10 Years Experience)

Position: Java Spring Boot Kafka Production Support Engineer

Experience: 6-10 Years

Location: Bangalore

Employment Type: Full-Time

Job Summary

We are seeking an experienced Java Spring Boot Kafka Production Support Engineer with 6-10 years of IT experience to support and maintain mission-critical applications in a production environment. The ideal candidate should possess strong expertise in Java, Spring Boot, Kafka, troubleshooting production issues, incident management, monitoring, and performance optimization while ensuring high application availability and stability.

Key Responsibilities

• Provide L2/L3 production support for Java-based enterprise applications.
• Monitor application health, identify issues proactively, and ensure maximum uptime.
• Troubleshoot and resolve production incidents within defined SLAs.
• Analyze application logs and perform root cause analysis (RCA) for critical incidents.
• Support and maintain microservices built using Spring Boot.
• Monitor and troubleshoot Kafka topics, consumer groups, brokers, and message flows.
• Manage deployment activities and production releases.
• Collaborate with development, infrastructure, and business teams to resolve complex issues.
• Perform application performance tuning and optimization.
• Participate in on-call support and rotational shifts as required.
• Create and maintain support documentation, runbooks, and knowledge articles.
• Drive continuous service improvement initiatives to reduce recurring incidents.

Required Technical Skills

Core Java & Frameworks

• Strong experience in Java 8/11/17.
• Expertise in Spring Boot and Spring Framework.
• Experience with RESTful APIs and Microservices Architecture.
• Good understanding of multithreading, collections, exception handling, and JVM concepts.

Kafka

• Hands-on experience with Apache Kafka.
• Knowledge of Kafka Producers, Consumers, Topics, Partitions, and Consumer Groups.
• Experience in troubleshooting message failures, lag monitoring, and offset management.
• Understanding of Kafka performance tuning and monitoring.

Database

• Experience with SQL databases such as Oracle, PostgreSQL, MySQL, or SQL Server.
• Ability to write complex SQL queries for troubleshooting and data analysis.
• Understanding of database performance tuning concepts.

Production Support

• Experience in Incident, Problem, and Change Management processes.
• Hands-on experience with ticketing tools such as ServiceNow, Jira, or Remedy.
• Strong troubleshooting and debugging skills.
• Exposure to SLA, RCA, and ITIL-based support processes.

Monitoring & DevOps

• Experience with Splunk, ELK, Grafana, Dynatrace, AppDynamics, or Prometheus.
• Knowledge of Unix/Linux commands and shell scripting.
• Familiarity with CI/CD tools such as Jenkins, Git, Maven, and Kubernetes/OpenShift.
• Experience in application deployment and release management.