Backend Engineer (Java 17 + Kafka)

Backend Engineer (Java 17 + Kafka) Experience: 3–6 years Location: Bangalore Max CTC: ₹16- 19 LPA ( Depending on Experience) Engagement: 6 months Contract Payroll : Talpro India Pvt. Ltd. Joining: Early / Immediate joiners only About the Role We are hiring a hands-on Backend Engineer with strong design instincts and real-world experience building scalable, event-driven systems .

You will work on highly available backend services powered by Java 17+, Spring Boot, Kafka , and modern data stores. The role requires a self-driven engineer who can independently deliver high-quality, production-ready solutions.

Key Responsibilities

Design, develop, and maintain backend services using Java 17+ and Spring Boot . Architect, build, and optimize Kafka-based streaming applications ensuring high throughput & reliability. Design microservices and event-driven architectures aligned with industry standards. Collaborate with product, QA, and engineering teams to convert requirements into robust technical designs.

Optimize performance, implement observability, and ensure system scalability & health. Develop complex SQL queries , database schemas, and integration workflows. Troubleshoot production issues, perform RCA, and deliver timely resolutions. Write clean, maintainable code with unit tests , conduct code reviews, and follow best engineering practices.

Required Skills

& Qualifications 3–6 years of backend development experience. Strong hands-on expertise in: Java 17 or above Spring Boot Kafka (streaming apps, consumers/producers, schemas, partitions, offsets, scaling strategies) Microservices architecture Solid understanding of data modeling, SQL, relational DBs , and query optimization.

Ability to work independently with minimal supervision. Strong ownership mindset, problem-solving skills, and end-to-end delivery capability. Understanding of distributed systems , messaging patterns, and cloud-native principles.

Nice to Have

Experience with Docker , Kubernetes , or cloud platforms ( AWS/GCP/Azure ). Knowledge of CI/CD pipelines , DevOps, and automation. Exposure to NoSQL , caching systems (Redis/Memcached), or event processing frameworks.