Java Production Support

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

Java Spring Boot Kafka Production Support Engineer

6-10 Years

Bangalore

Full-Time

Please fill the Candidate details using the below Link.

Cognizant Interview -Candidate Registration Details – Fill out form 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.