▷ [High Salary] Senior DevOps / Platform Engineer (OpenShift | Kafka | ArgoCD)

2 weeks ago


Chennai, India GSSTech Group Full time

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)


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