Java Production Support, BANGALORE, Karnataka, India

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

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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.

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关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。

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