Description :

- Design, build, and maintain scalable backend microservices & REST/gRPC APIs

- Architect event-driven & real-time data solutions using Kafka, Flink, Spark, Pulsar, etc.

- Build and optimize streaming & batch data pipelines for reliable data delivery

- Integrate and optimize SQL & NoSQL databases for high performance

- Deploy applications with Docker & Kubernetes in cloud-native environments

- Contribute to CI/CD pipelines, Infrastructure as Code, and DevOps practices

- Ensure secure coding, monitoring, and performance optimization

- Mentor team members and participate in code/design reviews

Required Skills & Experience :

- 4- 7 years of hands-on software/data engineering experience

- Strong expertise in Python (FastAPI/Django) or Java/Scala frameworks

- Experience with distributed streaming platforms (Kafka, Flink, Spark, Pulsar, Pub/Sub)

- Deep understanding of event-driven architectures & streaming semantics

- Solid experience with Docker, Kubernetes, CI/CD, and cloud-native practices

- Strong knowledge of SQL/NoSQL databases

Preferred Skills :

- Real-time analytics, ML pipelines, or time-series DBs

- Familiarity with cloud-based streaming services (AWS Kinesis, Google Pub/Sub, Azure Event Hubs)

- Experience with Infrastructure as Code & DevOps tooling