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Job Description
**Note** ** Notice period -Max 15 days to 30 days** Minimum 5+ years of development and design experience in Java/Scala/Python with Flink, Beam (or Spark Streaming using Real Time data and not batch data) and Kafka.
- Containerization and orchestration (Docker and OpenShift/Kubernetes) - Kafka, Flink, Beam / Kafka streams, Apache Spark or similar streaming technologies - Source control (GIT), automated build/deployment pipelines (Jenkins, ArgoCD, Kaniko, Shipwright etc.) - Public Cloud preferably Azure and OCI - Linux OS configuration and using shell scriptingp - Working with streaming data sets at scale - Public Cloud automation toolset - Cloud Native applications - Understanding of GitOps - Extensive coding experience and knowledge in event driven and streaming architecture - Good hands-on experience with design patterns and their implementation - Experience doing automated unit and integration testing - Well versed with CI/CD principles (GitHub, Jenkins etc.), and actively involved in solving, troubleshooting issues in distributed services ecosystem - Familiar with Distributed services resiliency and monitoring in a production environment.
- Responsible for adhering to established policies, following best practices, developing, and possessing an in-depth understanding of exploits and vulnerabilities, resolving issues by taking the appropriate corrective action.
- High level knowledge of compliance and regulatory requirements of data including but not limited to encryption, anonymization, data integrity, policy control features in large scale infrastructures - Understand data sensitivity in terms of logging, events and in memory data storage– such as no card numbers or personally identifiable data in logs.
- Distributed systems - Network fundamentals and host-level routing - Tuning distributed systems - Automated testing - Security engineering practices and tools.
- Event driven architecture
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