Sr. DevOps Manager
Core
Design, build, and manage scalable cloud infrastructure and CI/CD pipelines while integrating AI-driven automation tools to enhance operational efficiency.
Role type
Senior DevOps Engineer (Cloud & AI Automation)
Builds
Scalable cloud environments, automated deployment pipelines, containerized workloads, and AI-enhanced DevOps platforms.
Domain
Cloud Infrastructure, DevOps, AI/ML Engineering
Deliverable
production ML models | infrastructure
Required skills
Cloud platform expertise (AWS/Azure/GCP), Infrastructure as Code (Terraform/CloudFormation), CI/CD pipeline orchestration, Container orchestration (Kubernetes), Python/Bash/Go scripting, Observability stack management, Security governance, AI/ML tool integration, Team leadership.
Preferred skills
AWS/Azure/GCP certifications, GitOps implementation (ArgoCD/Flux), Microservices architecture, Serverless systems, Event-driven architecture.
Technologies
AWS, Azure, GCP, Terraform, AWS CloudFormation, Pulumi, ARM, GitHub Actions, GitLab CI, Jenkins, Azure DevOps, ArgoCD, Spinnaker, Ansible, Chef, Puppet, Docker, Kubernetes, Helm, EKS, AKS, GKE, Prometheus, Grafana, ELK, Datadog, New Relic, Splunk, CloudWatch, AIOps, GitHub Copilot.
Responsibilities
Architect and manage multi-cloud infrastructure; Design and optimize CI/CD workflows; Implement containerization and Kubernetes orchestration; Deploy observability and security solutions; Integrate AI/ML tools for pipeline automation and incident prediction; Lead and mentor engineering teams.
Seniority
Senior, hands-on IC with leadership responsibilities
