Job
Description
Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Kubernetes Good to have skills : Google Kubernetes Engine, Google Cloud Compute Services Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education About The Role :We are looking for an experienced Kubernetes Architect to join our growing cloud infrastructure team. This role will be responsible for architecting, designing, and implementing scalable, secure, and highly available cloud-native applications on Kubernetes. You will leverage Kubernetes along with associated technologies like Kubekafka, Kubegres, Helm, Ingress, Redis, Grafana, and Prometheus to build resilient systems that meet both business and technical needs. Google Kubernetes Engine (GKE) will be considered as an additional skill. As a Kubernetes Architect, you will play a key role in defining best practices, optimizing the infrastructure, and providing architectural guidance to cross-functional teams Key Responsibilities: Architect Kubernetes Solutions:Design and implement scalable, secure, and high-performance Kubernetes clusters. Cloud-Native Application Design:Collaborate with development teams to design cloud-native applications, ensuring that microservices are properly architected and optimized for Kubernetes environments. Kafka Management:Architect and manage Apache Kafka clusters using Kubekafka, ensuring reliable, real-time data streaming and event-driven architectures. Database Architecture:Use Kubegres to manage high-availability PostgreSQL clusters in Kubernetes, ensuring data consistency, scaling, and automated failover. Helm Chart Development:Create, maintain, and optimize Helm charts for consistent deployment and management of applications across Kubernetes environments. Ingress & Networking:Architect and configure Ingress controllers (e.g., NGINX, Traefik) for secure and efficient external access to Kubernetes services, including SSL termination, load balancing, and routing. Caching and Performance Optimization:Leverage Redis to design efficient caching and session management solutions, optimizing application performance. Monitoring & Observability:Lead the implementation of Prometheus for metrics collection and Grafana for building real-time monitoring dashboards to visualize the health and performance of infrastructure and applications. CI/CD Integration:Design and implement continuous integration and continuous deployment (CI/CD) pipelines to streamline the deployment of Kubernetes-based applications. Security & Compliance:Ensure Kubernetes clusters follow security best practices, including RBAC, network policies, and the proper configuration of Secrets Management. Automation & Scripting:Develop automation frameworks using tools like Terraform, Helm, and Ansible to ensure repeatable and scalable deployments. Capacity Planning and Cost Optimization:Optimize resource usage within Kubernetes clusters to achieve both performance and cost-efficiency, utilizing cloud tools and services. Leadership & Mentorship:Provide technical leadership to development, operations, and DevOps teams, offering mentorship, architectural guidance, and sharing best practices. Documentation & Reporting:Produce comprehensive architecture diagrams, design documents, and operational playbooks to ensure knowledge transfer across teams and maintain system reliability Required Skills & Experience: 10+ years of experience in cloud infrastructure engineering, with at least 5+ years of hands-on experience with Kubernetes. Strong expertise in Kubernetes for managing containerized applications in the cloud. Experience in deploying & managing container-based systems on both private and public clouds (Google Kubernetes Engine (GKE)). Proven experience with Kubekafka for managing Apache Kafka clusters in Kubernetes environments. Expertise in managing PostgreSQL clusters with Kubegres and implementing high-availability database solutions. In-depth knowledge of Helm for managing Kubernetes applications, including the development of custom Helm charts. Experience with Ingress controllers (e.g., NGINX, Traefik) for managing external traffic in Kubernetes. Hands-on experience with Redis for caching, session management, and as a message broker in Kubernetes environments. Advanced knowledge of Prometheus for monitoring and Grafana for visualization and alerting in cloud-native environments. Experience with CI/CD pipelines for automated deployment and integration using tools like Jenkins, GitLab CI, or CircleCI. Solid understanding of networking, including load balancing, DNS, SSL/TLS, and ingress/egress configurations in Kubernetes. Familiarity with Terraform and Ansible for infrastructure automation. Deep understanding of security best practices in Kubernetes, such as RBAC, Network Policies, and Secrets Management. Knowledge of DevSecOps practices to ensure secure application delivery.Certifications:oGoogle Cloud Platform (GCP) certification is mandatory.oKubernetes Certification (CKA, CKAD, or CKAD) is highly preferred.oHashiCorp Terraform certification is a significant plus.
