Senior Java Developer

Sasken Technologies; Bengaluru; On-site; INR 1,000,000 - 1,800,000; Full time

Job summary

Sasken Technologies in Bengaluru (Domlur) seeks an experienced Java developer to design and build robust microservices using Spring Boot, Spring MVC, JPA, and Hibernate. You will work on RESTful APIs, streaming data with Kafka, and data access with SQL/NoSQL databases.

Docker/Kubernetes and cloud exposure (AWS/Azure/GCP) are expected, with a focus on test-driven development. The role requires 3–6 years of hands-on Java experience, plus familiarity with CI/CD, Git, and AI-assisted coding aids.

Qualifications

• 3–6 years of hands-on Java development experience.
• Strong knowledge of Spring Boot, Spring MVC, Spring Data JPA, and Hibernate.
• Experience building RESTful microservices and Kafka messaging.
• Proficient with SQL, PostgreSQL, MySQL and Redis databases.
• Hands-on with Docker, Kubernetes, and CI/CD pipelines.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Experience with unit testing using JUnit and Mockito.
• Exposure to AI-assisted coding tools is a plus.

Skills

Core Java

OOP

Multithreading

Tools

Spring Boot

Spring MVC

Spring Data JPA

Hibernate

Kafka

PostgreSQL

MySQL

Redis

Docker

Kubernetes

CI/CD

Git

AWS

Azure

GCP

JUnit

Mockito

SLF4J

Logback

GitHub Copilot

Cursor AI

Job description

Experience: 3 - 6 Years

Location : Bangalore ( Domlur Location )

Mode of interview: Face to Face

Interview Date: 03/11/2026 ( Tuesday )

Notice Period: Immediate Joiners

Core Tech Stack & Skills

• Languages & Fundamentals: Core Java (Java 8, 11, 17+), Object-Oriented Programming (OOP), Collections Framework, Multithreading, and Concurrency.
• Frameworks: Spring Boot, Spring MVC, Spring Data JPA, and Hibernate.
• APIs & Communication: RESTful APIs, Microservices architecture, and message brokers like Kafka.
• Databases & Caching: Relational databases (SQL, PostgreSQL, MySQL), NoSQL, and caching tools like Redis.
• DevOps & Cloud: Docker, Kubernetes, CI/CD pipelines, Git, and cloud platforms like AWS, Azure, or GCP.
• Testing: JUnit, Mockito, and logging frameworks (SLF4J, Logback).
• AI-Assisted Tools: Growing adoption of AI coding assistants like GitHub Copilot and Cursor AI