Software Engineer - Java/Spring Frameworks

Actively Reviewing the Applications

Sampoorna Consultants

India, Maharashtra Full-Time

Posted 1 day ago • Apply by June 17, 2026

Job Description

You Will Work On

We help many of our clients make sense of their large investments in data - be it building analytics solutions or machine learning applications. You will work on cutting-edge cloud-native technologies to crunch terabytes of data into meaningful insights.

What You Will Do (Responsibilities)

Collaborate with Data Scientists, Engineers, and Product Management to transform raw data too often into actionable and meaningful insights for the enterprise
Work in a small dynamic, product-oriented environment to deliver enterprise-class products.
Design, implement and maintain Java-based applications that can be high-volume and low-latency
Ensure the best possible performance, quality, and responsiveness of the applications
Write well-designed, testable code
Design and Implement REST API.
Continuously improve software development practices work across the full stack.
In many cases work on designing and developing data pipelines using Apache Spark or Google Data Pipelines.

Requirements

What you bring (Skills) :

Experience working with product-based companies.
5-8+ Years Experience in building modern cloud-native microservices-based applications in Java, Groovy, Spring Boot, and SQL or NoSQL Databases.
Experience working on Spring, Spring Boot, and Spring Security frameworks.
Experience in Java-based distributed & scalable application development.
Hands-on with distributed eventing architectures using Kafka, Google cloud platform (GCP), BigQuery, or other NoSQL databases.
Ability to produce easily consumable RESTful APIs with strong living documentation and specification-by-example tests.

Great If You Know (Skills)

T-shaped skills are always preferred - so if you have the passion to work across the full stack spectrum - it is more than welcome.
Exposure to infrastructure-based skills like Docker, Istio, and Kubernetes is a plus
Exposure to Apache Spark, Kafka, Flink, or data pipelines.
Ability to work out the right strategies of deployment for BigData systems.
Collaborate with DevOps and Test Automation teams to build favorable developer experience in both build and CI/CD.

(ref:hirist.tech)