Java developer

Job Title: Java Developer with Kafka

Location: Hyderabad

Experience: 4–9 Years

Job Summary

We are seeking an experienced Java Developer with strong expertise in Apache Kafka to design, develop, and maintain scalable, high-performance enterprise applications. The ideal candidate should have hands-on experience building microservices, implementing event-driven architectures, and working with distributed systems.

Key Responsibilities

• Design, develop, and maintain Java-based applications using Spring Boot.
• Build and manage event-driven applications using Apache Kafka.
• Develop RESTful APIs and microservices.
• Integrate applications with databases and third-party systems.
• Optimize application performance, scalability, and reliability.
• Write clean, maintainable, and testable code following best practices.
• Collaborate with cross-functional teams in Agile/Scrum environments.
• Troubleshoot production issues and provide timely resolutions.
• Participate in code reviews and contribute to technical design discussions.

Required Skills

• 5–8 years of experience in Java application development.
• Strong proficiency in Java 8/11/17 and Spring Boot.
• Hands-on experience with Apache Kafka (producers, consumers, topics, partitions, consumer groups).
• Experience developing REST APIs and Microservices.
• Strong understanding of multithreading, collections, and JVM concepts.
• Experience with SQL databases (Oracle, PostgreSQL, or MySQL).
• Familiarity with Git, Maven/Gradle, and CI/CD pipelines.
• Knowledge of Docker and Kubernetes is an advantage.
• Experience with cloud platforms (AWS, Azure, or GCP) is a plus.
• Good analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with event-driven architecture and distributed systems.
• Exposure to monitoring tools such as Prometheus, Grafana, ELK, or Splunk.
• Knowledge of messaging systems and integration patterns.
• Experience working in Agile development environments.

Job Description: Java Developer

Experience: 5+ Years

Location: Bangalore

Work Mode: Hybrid

Mandatory Skills:

• Strong experience in Java, Spring Boot & Microservices
• Hands-on experience with Apache Kafka
• Experience working with Git, REST APIs & SQL
• Good understanding of Generative AI / GitHub Copilot
• Strong knowledge of software development, debugging and performance optimization
• Good communication and problem-solving skills

Role & Responsibilities:

• Design, develop and maintain scalable Java-based applications.
• Develop and integrate Kafka-based event-driven services.
• Utilize Copilot/AI-assisted development tools to improve development productivity.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Participate in code reviews, testing and production support.

SE/SSE - Backend (Java)

JAVA: Software Engineer / Senior Software Engineer

Job Overview: RevSure.AI is building a world-class team of Engineers with a mandate to architect, design, build, scale, and maintain our cutting-edge Revops platform and derive insights from the customer data. If you are a great JavaScript developer (or, for that matter, in any major programming language) with experience in building SaaS web applications and looking for an opportunity to build world-class products using cutting-edge technologies, please read on -

Responsibilities:

● Contribute to the growth and development of our product by writing and maintaining code, focusing on quality and maintainability. We believe that our teams own the code they build.

● Share your knowledge, both inside and outside your own team.

● Design, implement, test, and monitor valuable solutions that achieve the teamʼs goals while keeping a smooth delivery flow and balancing tradeoffs between scope, time, and effort.

● Continuously improve your and your teamʼs way of working, expanding the boundaries of your teamʼs autonomy and self-organisation.

Requirements:

Must-Have:

● Good interpersonal and communication skills. An analytical mind and an eye for detail

● Experience of 4-7 years in building large applications, preferably from the heavy data processing & analytics side

● Experience in architecting, designing, and building end-to-end System Design of multi tenant SAAS applications

● Experience architecting interactive configuration experiences around DAGs, configuration-heavy reporting feature, interactive data pipeline design interfaces, and charting.

● Experience in Java, Spring Boot, and GCP

● In-depth understanding of design patterns, OOPs, and Functional programming.

● Passionate programmer focused on Backend Programming.

Good to have:

● Working knowledge of GCP managed services like Kubernetes, PubSub

Please feel free to share your resume to chandana at revsure.ai

**Based on your experience, the title could vary. We care more about mindset , ownership, and craft than just titles.

Company Name – Wissen Technology

Group of companies in India – Wissen Technology & Wissen Infotech

Work Location – Whitefield, Bangalore

Website and Company profile:

www.wissen.com

LinkedIn Page:

https://www.linkedin.com/company/wissen-technology/

While you may already know about Wissen and the company history, here is a quick rundown for you.

About Wissen Technology:

·    The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.

·    Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.

·    Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

·    Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.

·    Globally present with offices US, India, UK, Australia, Mexico, and Canada.

·    We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.

·    Wissen Technology has been certified as a Great Place to Work®.

·    Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.

·    Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.

·    We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

About Role :

Key Responsibilities

• Build and maintain data transformation pipelines using java Spark
• Develop and optimize large-scale/CPU intensive data processing using Apache Spark
• Orchestrate workflows using Airflow
• Implement data quality checks, testing, and monitoring for pipeline. Good to have exposer into managing metadata, cataloguing, and lineage
• Support schema evolution, backfills, and incremental processing
• Ensure pipelines meet SLAs for freshness, reliability, and performance
• Expertise/working knowledge in Spark and HBase(semantic layer, virtual datasets, Reflections)

Required Skills & Qualifications

• Strong hands-on experience with 
• HBase
• Apache Spark
• Experience with HBase or similar lakehouse query engines
• Airflow 
• Understanding of data catalogs and lineage (e.g., OpenLineage, DataHub, Apache Polaris , openlineage)
• Proficiency in Java
• Experience with Git-based development and CI/CD

Nice-to-Have Skills

• OpenTable format/Iceberg ,Apache Arrow
• CDC-based analytics pipelines
• Cloud platforms (AWS)
• Kubernetes-based data platforms

Design, develop, and maintain backend services using Java

Build scalable RESTful APIs and microservices

Work with Spring / Spring Boot frameworks

Implement business logic, data access layers, and integrations

Optimize application performance, scalability, and security

Write clean, testable, and maintainable code kafka

Perform unit and integration testing

Participate in code reviews and technical discussions

Collaborate with frontend, DevOps, and QA teams

Troubleshoot and resolve produc

Looking for strong experience in Java, Spring Boot, Spring Cloud, Microservices, System Design, Kafka, Redis, Cloud, Docker & Kubernetes.

FinTech / Banking experience will be an added advantage.

Roles & Responsibilities

• Design, develop, and deliver scalable end-to-end data pipelines using Azure Data Factory, ensuring robust integration

of enterprise-wide data from diverse sources

• Build and optimize data engineering workflows using Databricks and PySpark

• Write efficient, high-performance SQL for data transformation and analysis

• Work with the Azure Cloud platform and associated services, applying strong understanding of data warehousing,

data models, and pipelines

• Provide technical leadership to a team of developers, including code reviews and enforcing best practices across the

development lifecycle

• Oversee CI/CD implementation using Azure DevOps, managing deployments across development, QA, and production

environments with proper change control processes

• Collaborate with cross-functional teams to translate business requirements into scalable data solutions

• Ensure data quality, reliability, and performance across all pipelines and platforms

Ideal Candidate

1Strong Azure Databricks Engineer / Senior Data Engineer Profile

2Mandatory (Experience 1) – Must have minimum 8+ years of overall experience in Data Engineering, Data Development, or related data technology roles, with strong hands-on experience in enterprise data pipeline development.

3Mandatory (Experience 2) – Must have strong hands-on experience with Azure Databricks, including development and optimization of scalable data engineering workflows using Databricks and PySpark.

4Mandatory (Experience 3) – Must have strong hands-on proficiency in PySpark/Python and SQL, with proven experience developing complex data transformations, processing workflows, and performance-optimized queries.

5Mandatory (Experience 4) – Must have hands-on experience with Azure Data Factory (ADF) for designing, developing, and orchestrating end-to-end data pipelines and integrating data from multiple sources.

6Mandatory (Experience 5) – Must have strong experience working on the Azure Cloud platform and associated data services, with solid understanding of data warehousing, data modeling, pipeline architecture, and enterprise data solutions.

7Mandatory (Experience 6) – Must have hands-on experience implementing CI/CD using Azure DevOps, including deployment and release management across development, QA, and production environments.

8Mandatory (Experience 7) – Must have proven technical leadership experience, including code reviews, enforcing development best practices, mentoring developers, and providing technical guidance to a data engineering team.

9Mandatory (Notice Period) – Immediate joiners or candidates who can join within 15 days.

10Mandatory (Note) - The position is open across all Cognizant offices pan India. Candidates must be willing to attend the F2F interview at the nearest Cognizant office location.