Job
Description
Designing, implementing, and optimizing CI/CD pipelines for cloud and hybrid environments. Integrating AI-driven pipeline automation for self-healing deployments and predictive troubleshooting. Leveraging GitOps (ArgoCD, Flux, Tekton) for declarative infrastructure management. Implementing progressive delivery strategies (Canary, Blue-Green, Feature Flags). Containerizing applications using Docker & Kubernetes (EKS, AKS, GKE, OpenShift, or on-prem clusters). Optimizing service orchestration and networking with service meshes (Istio, Linkerd, Consul). Implementing AI-enhanced observability for containerized services using AIOps-based monitoring. Automating provisioning with Terraform, CloudFormation, Pulumi, or CDK. Supporting and optimizing distributed computing workloads, including Apache Spark, Flink, or Ray. Using GenAI-driven copilots for DevOps automation, including scripting, deployment verification, and infra recommendations. The Impact You Will Have: Enhancing the efficiency and reliability of CI/CD pipelines and deployments. Driving the adoption of AI-driven automation to reduce downtime and improve system resilience. Enabling seamless application portability across on-prem and cloud environments. Implementing advanced observability solutions to proactively detect and resolve issues. Optimizing resource allocation and job scheduling for distributed processing workloads. Contributing to the development of intelligent DevOps solutions that support both traditional and AI-driven workloads. What You ll Need: 5+ years of experience in DevOps, Cloud Engineering, or SRE. Hands-on expertise with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, ArgoCD, Tekton, etc.). Strong experience with Kubernetes, container orchestration, and service meshes. Proficiency in Terraform, CloudFormation, Pulumi, or Infrastructure as Code (IaC) tools. Experience working in hybrid cloud environments (AWS, Azure, GCP, on-prem). Strong scripting skills in Python, Bash, or Go. Knowledge of distributed data processing frameworks (Spark, Flink, Ray, or similar)
