DevOps Cloud Engineer

• 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)