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

•  Experience in Agile methodology.

•  Ensure quality of technical and application architecture and design of systems across the organization.

•  Analytical thinking

•  Effectively research and benchmark technology against other best in class technologies.

•  Able to influence multiple teams on technical considerations, increasing their productivity and effectiveness, by sharing deep knowledge and experience.

•  Self-motivator and self-starter, ability to own and drive things without supervision and works collaboratively with the teams across the organization.

Soft Skills

•   Have excellent soft skills and interpersonal skills to interact team members.

•   Strategic Thinking with Research and Development mindset

•   Excellent communication skills (verbal, written, and presentation)