Senior Staff Engineer 10-12 years

Location- PAN India(Hybrid)

Must have Skills : Apache Kafka,Java 17,MySQL,Openshift

Senior Java Developer
Experience  - minimum 7+ years
Responsibilities: Write, unit test, and maintain code aligned to technical direction, especially with complex or critical parts of the codebase.
Software stack skills required for GLP Java team
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1. OpenShift:
   OpenShift Container Platform: For container orchestration and management.
   Streams for Apache Kafka: Use the Streams for Apache Kafka operator to deploy and manage Kafka clusters on OpenShift.
   2. Kafka:
   Apache Kafka: For distributed messaging and real-time data streaming.
   Kafka Connect: To integrate Kafka with various data sources and sinks.
   Kafka Streams: For stream processing within Kafka.\
2. Java:
   JDK (Java Development Kit): Preferably JDK 17 or later for development.
   Spring Boot: For building microservices and RESTful APIs.
   Kafka Clients: Java clients for producing and consuming messages from Kafka.\
3. C# (Optional):
   .NET Core/ASP.NET Core: For building cross-platform applications and services.\
4. SQL Database:
   PostgreSQL, MySQL, or Microsoft SQL Server: A powerful, open-source relational database system.
   DB2: The system will still use DB2. Any popular open or closed source relational database will be suitable as a skill.\
5. Observability Framework:
   Prometheus: For monitoring and alerting, especially in Kubernetes environments.
   Grafana: For visualizing metrics collected by Prometheus.
   OpenTelemetry: For collecting logs, metrics, and traces from applications.
   Jaeger: For distributed tracing to monitor and troubleshoot transactions in complex microservices environments.
   Fluentd: For log collection and aggregation.\
6. DevOps and CI/CD:
   Jenkins or GitLab CI/CD: For continuous integration and deployment pipelines.
   Helm: For managing Kubernetes applications.
   Prometheus and Grafana: For monitoring and observability.
   This stack ensures seamless integration of container orchestration, real-time data streaming, application development, robust data management, and observability.
   Streams for Apache Kafka: Use the Streams for Apache Kafka operator to deploy and manage Kafka clusters on OpenShift.