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.
Requirements
Key Responsibilities-
Design, implement, and manage high-throughput Kafka clusters in production environments
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Build and maintain event-driven and streaming data architectures
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Develop and manage CI/CD pipelines using tools like Jenkins, ArgoCD, and GitOps practices
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Work on cloud-native applications across AWS, Azure, or OCI
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Automate infrastructure and deployment processes using modern cloud automation tools
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Collaborate with cross-functional teams to deliver scalable and resilient data solutions
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Ensure best practices in code quality, testing, and deployment automation
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Implement design patterns for scalable and maintainable systems
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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
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Proficiency in Git (source control) and CI/CD tools like Jenkins, ArgoCD
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Hands-on experience with public cloud platforms (AWS / Azure / OCI)
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Experience working with large-scale streaming datasets
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Good understanding of event-driven architecture and microservices
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Exposure to GitOps practices and DevOps culture
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Experience with cloud automation tools
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Strong knowledge of software design patterns and system design principles
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Experience in automated testing (unit & integration testing)
Preferred Qualifications-
Experience with OpenShift / Kubernetes platforms
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Familiarity with real-time streaming frameworks and data pipelines
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Prior experience in banking or financial services domain (preferred but not mandatory)
