Job description
We are looking for a highly skilled Technology Engineer with strong expertise in streaming data platforms and cloud-native technologies .
The ideal candidate will have hands-on experience with Kafka, CI/CD pipelines, and cloud environments , and will play a critical role in building scalable, event-driven data systems.
Key Responsibilities Design, implement, and manage high-throughput Kafka clusters in production environments Build and maintain event-driven and streaming data architectures Develop and manage CI/CD pipelines using tools like Jenkins, ArgoCD, and GitOps practices Work on cloud-native applications across AWS, Azure, or OCI Automate infrastructure and deployment processes using modern cloud automation tools Collaborate with cross-functional teams to deliver scalable and resilient data solutions Ensure best practices in code quality, testing, and deployment automation Implement design patterns for scalable and maintainable systems Perform unit testing and integration testing for robust application delivery Required Skills & Experience Strong experience in Apache Kafka setup, configuration, and performance tuning in high-volume environments Proficiency in Git (source control) and CI/CD tools like Jenkins, ArgoCD Hands-on experience with public cloud platforms (AWS / Azure / OCI) Experience working with large-scale streaming datasets Good understanding of event-driven architecture and microservices Exposure to GitOps practices and DevOps culture Experience with cloud automation tools Strong knowledge of software design patterns and system design principles Experience in automated testing (unit & integration testing) Preferred Qualifications Experience with OpenShift / Kubernetes platforms Familiarity with real-time streaming frameworks and data pipelines Prior experience in banking or financial services domain (preferred but not mandatory)
This job post has been translated by AI and may contain minor differences or errors.
