Software Engineer with Kafka, Java, Flink Experience

We are seeking a highly skilled Senior Software Engineer with expertise in Apache Flink, Apache Kafka, and Spring Boot to design and implement real-time data processing solutions for our SaaS platform. The ideal candidate must have hands-on experience building and deploying streaming applications in production environments and thrives in a fast-paced, cloud-native ecosystem.

Key Responsibilities:

• Design, develop, and maintain real-time streaming applications using Apache Flink (Java API).
• Build and optimize Kafka-based event-driven architectures for high-throughput, low-latency data pipelines.
• Develop microservices and REST APIs using Spring Boot for integration with SaaS components.
• Ensure scalability, reliability, and fault tolerance in distributed systems.
• Collaborate with product and DevOps teams to deploy and monitor solutions in cloud environments (AWS, Google Cloud Platform, or Azure).
• Implement observability (metrics, logging, tracing) for streaming applications.
• Participate in code reviews, architecture discussions, and performance tuning.

Required Skills & Qualifications:

• Strong proficiency in Java (including functional programming concepts).
• Hands-on experience with Apache Flink (DataStream API, state management, checkpointing).
• Deep understanding of Apache Kafka (topics, partitions, consumer groups, schema registry).
• Experience building Spring Boot microservices and integrating with streaming pipelines.
• Proven track record of deploying SaaS solutions in production environments.
• Familiarity with CI/CD pipelines, Docker, and Kubernetes.
• Knowledge of data serialization formats (Avro, Protobuf, JSON).
• Strong grasp of distributed systems, event-driven architecture, and stream processing concepts.

Preferred Qualifications:

• Experience with cloud-native architectures (AWS/Google Cloud Platform/Azure).
• Hands on Deployed Environment experience with Flink
• Experience with SQL, Kafka Streams, or other stream processing frameworks.
• Exposure to monitoring tools (Prometheus, Grafana) and security best practices.
• Background in SaaS product development and multi-tenant architectures.