Senior DevOps / Platform Engineer (OpenShift | Kafka | ArgoCD)

We are looking for an experienced DevOps / Platform Engineer with strong expertise in OpenShift, Kafka, CI / CD, Cloud, and distributed systems to join our technology team. The ideal candidate will have hands-on experience building scalable, secure, and cloud-native platforms in high-throughput environments.

Education

Degree, Postgraduate in Computer Science or related field (or equivalent industry experience)

Experience

Minimum 5+ years of development and design experience in OpenShift / Jenkins, ArgoCD and Kafka.

Technical Skills

• Containerization and orchestration (Docker and OpenShift / Kubernetes)
• Enterprise and Open Source Redis setup, configuration and support.
• Kafka setup and configuration experience with high throughput environment.
• Source control (GIT), automated build / deployment pipelines (Jenkins, ArgoCD, Kaniko, Shipwright etc.)
• Public Cloud preferably Azure and OCI
• Linux OS configuration and using shell scripting
• 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
• Good to have Flink, Beam / Kafka streams, Apache Spark or similar streaming technologies

Functional Skills

Soft Skills