Senior Java Backend Engineer | Kafka & AWS
Who We Are
We are looking for an experienced Senior Java & Kafka Engineer to join a team building modern, cloud-based, data-driven applications and real-time streaming solutions. We are particularly interested in engineers who sit at the intersection of backend software engineering and data streaming.
The right profile should be comfortable writing substantial Java business logic, while also understanding how applications interact through Kafka-based asynchronous and event-driven architectures.
This is not a pure DevOps role. The position involves hands-on software engineering and the development of business logic using Java, rather than focusing primarily on infrastructure management, CI/CD pipelines, or platform operations.
At the same time, this is more than a traditional Backend Java role. The focus goes beyond standard REST/CRUD applications, with a strong emphasis on event-driven architectures, real-time data processing, Kafka-based integrations, and cloud-native solutions running on AWS.
The ideal candidate has a strong Java engineering background combined with practical experience designing and implementing solutions using Apache Kafka. Experience with Confluent Kafka / Confluent Platform is highly desirable but not mandatory.
What You'll Be Doing Design, develop, and maintain Java-based applications and services supporting data-driven business processes
Build and evolve event-driven and real-time data streaming architectures using Apache Kafka
Develop Kafka producers, consumers, event-processing components, and integration services
Design reliable and scalable communication patterns between distributed systems
Build cloud-native solutions and deploy/integrate applications within AWS environments
Implement business logic around asynchronous events and streaming data
Ensure solutions are scalable, resilient, maintainable, and production-ready
Troubleshoot application, integration, and data-streaming issues across distributed environments
Contribute to technical design and architectural discussions around Java, Kafka, AWS, and event-driven systems
Collaborate with software engineers, architects, DevOps/cloud engineers, and other technical stakeholders
Apply software engineering best practices, including automated testing, code reviews, observability, and CI/CD
What you'll bring along BSc/MSc in Computer Science or related field
Minimum 6-8+ years of experience
Strong hands-on experience with Java and modern Java development
Solid experience with Apache Kafka in production environments
Good understanding of: Kafka producers and consumers; topics and partitions; consumer groups and offsets; event-driven architecture; asynchronous processing; failure handling and resiliency
Experience designing or developing distributed, event-driven systems
Practical experience with AWS and cloud-based application environments
Experience developing APIs and integration services
Good understanding of microservices and distributed application architectures
Experience with automated testing, Git, CI/CD, and modern software engineering practices
Strong analytical and problem-solving skills
Nice to Have
Experience with Confluent Kafka / Confluent Platform
Experience with Kafka Streams
Experience with Schema Registry and Avro or similar serialization approaches
Experience with AWS services commonly used within event-driven/cloud-native architectures
Infrastructure-as-Code experience, such as Terraform
Containerization and orchestration experience with Docker and Kubernetes
Knowledge of monitoring and observability for distributed systems
We are looking for an experienced Senior Java & Kafka Engineer to join a team building modern, cloud-based, data-driven applications and real-time streaming solutions. We are particularly interested in engineers who sit at the intersection of backend software engineering and data streaming.
The right profile should be comfortable writing substantial Java business logic, while also understanding how applications interact through Kafka-based asynchronous and event-driven architectures.
This is not a pure DevOps role. The position involves hands-on software engineering and the development of business logic using Java, rather than focusing primarily on infrastructure management, CI/CD pipelines, or platform operations.
At the same time, this is more than a traditional Backend Java role. The focus goes beyond standard REST/CRUD applications, with a strong emphasis on event-driven architectures, real-time data processing, Kafka-based integrations, and cloud-native solutions running on AWS.
The ideal candidate has a strong Java engineering background combined with practical experience designing and implementing solutions using Apache Kafka. Experience with Confluent Kafka / Confluent Platform is highly desirable but not mandatory.
What You'll Be Doing Design, develop, and maintain Java-based applications and services supporting data-driven business processes
Build and evolve event-driven and real-time data streaming architectures using Apache Kafka
Develop Kafka producers, consumers, event-processing components, and integration services
Design reliable and scalable communication patterns between distributed systems
Build cloud-native solutions and deploy/integrate applications within AWS environments
Implement business logic around asynchronous events and streaming data
Ensure solutions are scalable, resilient, maintainable, and production-ready
Troubleshoot application, integration, and data-streaming issues across distributed environments
Contribute to technical design and architectural discussions around Java, Kafka, AWS, and event-driven systems
Collaborate with software engineers, architects, DevOps/cloud engineers, and other technical stakeholders
Apply software engineering best practices, including automated testing, code reviews, observability, and CI/CD
What you'll bring along BSc/MSc in Computer Science or related field
Minimum 6-8+ years of experience
Strong hands-on experience with Java and modern Java development
Solid experience with Apache Kafka in production environments
Good understanding of: Kafka producers and consumers; topics and partitions; consumer groups and offsets; event-driven architecture; asynchronous processing; failure handling and resiliency
Experience designing or developing distributed, event-driven systems
Practical experience with AWS and cloud-based application environments
Experience developing APIs and integration services
Good understanding of microservices and distributed application architectures
Experience with automated testing, Git, CI/CD, and modern software engineering practices
Strong analytical and problem-solving skills
Nice to Have
Experience with Confluent Kafka / Confluent Platform
Experience with Kafka Streams
Experience with Schema Registry and Avro or similar serialization approaches
Experience with AWS services commonly used within event-driven/cloud-native architectures
Infrastructure-as-Code experience, such as Terraform
Containerization and orchestration experience with Docker and Kubernetes
Knowledge of monitoring and observability for distributed systems