Java Software Engineer
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.
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