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:
ā¢ Design, develop, and maintain real-time streaming applications using Apache Flink (Java API).
ā¢ Build and optimize Kafka-based event-driven architectures for high-throughput, low-latency data pipelines.
ā¢ Develop microservices and REST APIs using Spring Boot for integration with SaaS components.
ā¢ Ensure scalability, reliability, and fault tolerance in distributed systems.
ā¢ Collaborate with product and DevOps teams to deploy and monitor solutions in cloud environments (AWS, Google Cloud Platform, or Azure).
ā¢ Implement observability (metrics, logging, tracing) for streaming applications.
ā¢ Participate in code reviews, architecture discussions, and performance tuning.
Required Skills & Qualifications:
ā¢ Strong proficiency in Java (including functional programming concepts).
ā¢ Hands-on experience with Apache Flink (DataStream API, state management, checkpointing).
ā¢ Deep understanding of Apache Kafka (topics, partitions, consumer groups, schema registry).
ā¢ Experience building Spring Boot microservices and integrating with streaming pipelines.
ā¢ Proven track record of deploying SaaS solutions in production environments.
ā¢ Familiarity with CI/CD pipelines, Docker, and Kubernetes.
ā¢ Knowledge of data serialization formats (Avro, Protobuf, JSON).
ā¢ Strong grasp of distributed systems, event-driven architecture, and stream processing concepts.
Preferred Qualifications:
ā¢ Experience with cloud-native architectures (AWS/Google Cloud Platform/Azure).
ā¢ Hands on Deployed Environment experience with Flink
ā¢ Experience with SQL, Kafka Streams, or other stream processing frameworks.
ā¢ Exposure to monitoring tools (Prometheus, Grafana) and security best practices.
ā¢ Background in SaaS product development and multi-tenant architectures.
For applications and inquiries, contact: [email protected]
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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:
ā¢ Design, develop, and maintain real-time streaming applications using Apache Flink (Java API).
ā¢ Build and optimize Kafka-based event-driven architectures for high-throughput, low-latency data pipelines.
ā¢ Develop microservices and REST APIs using Spring Boot for integration with SaaS components.
ā¢ Ensure scalability, reliability, and fault tolerance in distributed systems.
ā¢ Collaborate with product and DevOps teams to deploy and monitor solutions in cloud environments (AWS, Google Cloud Platform, or Azure).
ā¢ Implement observability (metrics, logging, tracing) for streaming applications.
ā¢ Participate in code reviews, architecture discussions, and performance tuning.
Required Skills & Qualifications:
ā¢ Strong proficiency in Java (including functional programming concepts).
ā¢ Hands-on experience with Apache Flink (DataStream API, state management, checkpointing).
ā¢ Deep understanding of Apache Kafka (topics, partitions, consumer groups, schema registry).
ā¢ Experience building Spring Boot microservices and integrating with streaming pipelines.
ā¢ Proven track record of deploying SaaS solutions in production environments.
ā¢ Familiarity with CI/CD pipelines, Docker, and Kubernetes.
ā¢ Knowledge of data serialization formats (Avro, Protobuf, JSON).
ā¢ Strong grasp of distributed systems, event-driven architecture, and stream processing concepts.
Preferred Qualifications:
ā¢ Experience with cloud-native architectures (AWS/Google Cloud Platform/Azure).
ā¢ Hands on Deployed Environment experience with Flink
ā¢ Experience with SQL, Kafka Streams, or other stream processing frameworks.
ā¢ Exposure to monitoring tools (Prometheus, Grafana) and security best practices.
ā¢ Background in SaaS product development and multi-tenant architectures.
For applications and inquiries, contact: [email protected]
Apply tot his job
Apply To this Job