DevOps Engineer

We are looking for **DevOps Engineers** with strong experience in data architecture, containerization, and cloud\-native deployments. The ideal candidates will have hands\-on expertise in Kafka\-based data pipelines, Kubernetes orchestration, CI/CD automation, and data integration within regulated environments (preferably banking/financial services). This role involves building scalable, secure, and high\-performance data platforms across multiple environments. **Key Responsibilities:** * Implement and configure Helm packages across multiple environments. * Design and manage data ingestion pipelines using Apache Kafka, ensuring high availability and low\-latency data delivery. * Translate functional and technical requirements into scalable technical solutions and workflows. * Manage data modelling, schema registry configurations, and serialization strategies. * Monitor, troubleshoot, and resolve issues in data pipelines, schema alignment, and data transformation processes. * Ensure data integrity, compliance, and adherence to regulatory standards. * Provide technical training, documentation, and ongoing support to business users and developers. * Deploy and orchestrate containerized components using Docker and Kubernetes (including AKS and OpenShift). * Support CI/CD pipelines, automated deployments, and infrastructure\-as\-code practices. * Integrate data sources, analytics, and reporting modules to deliver actionable insights. **Requirements:** * Strong understanding of data architecture, data flows, and distributed systems. * Proficiency in Apache Kafka (Schema Registry, topic management, event filtering). * Extensive experience with SQL Server or similar relational databases. * Hands\-on expertise in data modelling, schema versioning, and data integration. * Strong command of Docker for building and managing containerized applications. * Experience deploying and managing applications on Kubernetes platforms, including AKS or OpenShift. * Experience troubleshooting serialization issues, ingestion failures, and performing log analysis. * Proficiency in Python, Bash, or similar scripting languages for automation. * Comfortable working in Linux\-based environments with CLI log and file management. * Strong analytical and problem\-solving skills, preferably with exposure to financial data contexts. * Experience with DevOps tools such as Jenkins, Helm, and Git for CI/CD automation. * Knowledge of cloud\-native architecture and microservices within the banking ecosystem. * Familiarity with data security practices, encryption standards, and GDPR compliance. * Understanding of real\-time analytics, fraud detection, or regulatory reporting use cases.