Java Full Stack Developer

Software Engineer III Java Developer | Kafka | Kubernetes

Location: Mumbai, Maharashtra
Experience: 5+ Years
Work Mode: Day Shift / Agile Collaboration
Positions: 7
Joining: Within 30 days of selection

Job Overview

We are looking for an experienced Software Engineer III / Senior Java Developer with strong hands-on experience in Java, Spring Boot, Kafka, Kubernetes and Microservices Architecture.

The ideal candidate should have experience developing and supporting enterprise-scale, distributed and highly available applications in a large corporate environment.

You will be responsible for designing, developing, testing and troubleshooting secure, scalable production applications while contributing to system architecture, automation, resiliency and engineering best practices.

Key Responsibilities

• Design and develop high-quality, production-grade applications using Java and Spring Boot.
• Develop scalable REST APIs and enterprise microservices.
• Design and implement event-driven solutions using Apache Kafka.
• Work with Kafka producers, consumers, topics, partitions, offsets and Kafka Streams.
• Develop and deploy microservices on Kubernetes environments.
• Manage Kubernetes deployments, pods, services, ConfigMaps, Secrets, HPA and RBAC.
• Troubleshoot production issues across application, Kafka and Kubernetes environments.
• Design resilient distributed systems using retry mechanisms, circuit breakers, bulkheads and graceful degradation.
• Develop and maintain CI/CD pipelines using tools such as Jenkins, GitHub Actions, GitLab CI or ArgoCD.
• Work with SQL/NoSQL databases, including query optimization, indexing and schema design.
• Write unit and integration tests using JUnit, Mockito, TestContainers or equivalent frameworks.
• Follow secure coding practices and OWASP Top 10 principles.
• Participate in system design and contribute to architecture decisions for complex applications.
• Work closely with cross-functional teams in an Agile/Scrum environment.
• Use enterprise-approved AI-assisted development tools such as GitHub Copilot, Cursor or Claude Code to improve development productivity while validating AI-generated code for quality, security and performance.
• Contribute to engineering standards, coding hygiene, automation and continuous improvement.

Mandatory Technical Skills

Candidates should have strong hands-on experience in the majority of the following areas:

• Java 8+ – 4+ years
• Spring Boot
• REST API Development
• Apache Kafka – 3+ years
• Kafka Streams
• Kubernetes – 3+ years
• Microservices Architecture – 3+ years
• CI/CD – 3+ years
• Jenkins / GitHub Actions / GitLab CI / ArgoCD
• SQL and/or NoSQL databases
• System Design & Distributed Systems
• Application Resiliency
• JUnit / Mockito / TestContainers
• Secure Coding / OWASP
• Agile / Scrum
• Enterprise AI-assisted development tools

Candidate Profile

We are looking for candidates who can demonstrate real project-level experience, rather than candidates who have only listed technologies on their resumes.

Candidates should be able to explain:

• What they built using Java/Spring Boot
• How Kafka was implemented in their project
• Kafka producer/consumer architecture
• How their applications were deployed on Kubernetes
• Their role in designing microservices
• CI/CD pipeline implementation
• Production troubleshooting experience
• System design and architecture decisions
• Resiliency mechanisms implemented
• Testing and code-quality practices
• How they have used AI coding assistants professionally

Preferred Skills

• AWS / Azure / GCP
• AWS EKS / MSK / RDS / S3 / IAM
• Kafka on Kubernetes using Strimzi or Confluent Operator
• Financial Services / Banking / Payments experience
• GraphQL
• Splunk / Grafana / Prometheus
• React / Angular / Vue.js
• AI/ML or data engineering exposure

Education

Bachelor's degree such as B.E. / B.Tech / MCA in Computer Science, Information Technology or an equivalent engineering discipline is preferred/required as per client criteria.

Ideal Candidate

5+ years Software Engineering

• 4+ years Java/Spring Boot
• 3+ years Kafka
• 3+ years Kubernetes
• 3+ years Microservices
• 3+ years CI/CD
• System Design & Distributed Systems
• Production Resiliency & Troubleshooting
• Enterprise AI-assisted development experience

Candidates with enterprise-scale or financial-services experience will be strongly preferred.