Java Developer + Kafka

Wissen Technology is hiring for Java Developer + Kafka

At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide.

Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time.

Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia.

Our commitment to excellence translates into delivering 2X impact compared to traditional service providers.

How do we achieve this?

Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality.

We don’t just meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives.

We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more.

Wissen stands apart through its unique delivery models.

Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients with the flexibility to adapt to their evolving business needs.

Wissen leverages its thought leadership and technology prowess to drive superior business outcomes.

Our success is powered by top-tier talent.

Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time.

We are looking for a highly skilled Java Developer with strong experience in Apache Kafka and distributed systems.

The ideal candidate will be responsible for designing, developing, and maintaining scalable backend applications, event-driven architectures, and high-performance microservices.

The role requires hands-on expertise in Java development, REST APIs, messaging systems, and cloud-ready applications.

• Design, develop, and maintain robust backend applications using Java 11/17 or above.
• Build and support event-driven architectures using Apache Kafka.
• Develop scalable microservices and RESTful APIs.
• Implement Kafka producers, consumers, topics, partitions, and message processing workflows.
• Collaborate with product owners, architects, and cross-functional teams to deliver business requirements.
• Optimize application performance, reliability, and scalability.
• Participate in code reviews and ensure adherence to coding standards and best practices.
• Troubleshoot production issues and perform root cause analysis.
• Contribute to CI/CD implementation and DevOps practices.
• Work in Agile/Scrum development environments.

• Strong hands-on experience in Java 11/17+
• Solid understanding of: Collections Framework Multithreading & Concurrency Exception Handling JVM Performance Tuning Design Patterns Object-Oriented Programming (OOP)
• Collections Framework

• Exception Handling

• Design Patterns

• Extensive experience with Apache Kafka
• Knowledge of: Kafka Producers & Consumers Kafka Streams Topic Management Consumer Groups Partitions & Replication Event-Driven Architectures Message Queues & Streaming Platforms

• Kafka Streams
• Topic Management
• Consumer Groups

• Event-Driven Architectures

• Spring Boot
• Spring MVC

• Microservices Architecture

• SQL databases such as PostgreSQL, Oracle, MySQL, or SQL Server
• Query optimization and database design

• Git, Maven/Gradle
• CI/CD tools (Jenkins, GitHub Actions, Azure DevOps)
• Docker and Kubernetes
• Exposure to AWS, Azure, or GCP is preferred

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Experience in designing high-volume, low-latency applications.
• Knowledge of distributed systems and scalable architecture.
• Experience in Banking, Financial Services, FinTech, or Product-based environments is preferred.

Nice to Have:

• Kafka Connect
• Confluent Platform
• Elasticsearch
• Redis
• MongoDB

• Observability tools such as Grafana, Prometheus, Splunk, or ELK Stack

• Website: www.wissen.com
• LinkedIn: Wissen Technology | LinkedIn
• Wissen Leadership: Leadership Team | Wissen
• Wissen Live: Log Masuk LinkedIn, Daftar Masuk | LinkedIn
• Wissen Thought Leadership: https://www.wissen.com/articles/