Cloud Operations Engineer

Description

4+ years of hands-on experience in AWS (primary), plus exposure to Azure and GCP
Deep understanding of Kubernetes operations (EKS, AKS, GKE)
Infrastructure-as-Code: Terraform, AWS CDK, or CloudFormation
CI/CD pipeline development: GitHub Actions, GitLab CI/CD, AWS tools
Observability tooling: Grafana, Prometheus, Datadog, native cloud logs
Cloud-native networking, security hardening, IAM, and zero-trust architecture
Strong Git practices for infrastructure versioning and collaboration
Comfortable working solo during night shifts, handling on-call rotations

Experience in the Media & Entertainment domain (e.g., DRM, watermarking, media streaming)
Serverless/cloud-native frameworks: AWS Lambda, EventBridge, Kafka
AI/ML platform familiarity: SageMaker, Azure ML, Vertex AI
Hybrid network familiarity: AWS Direct Connect, Azure ExpressRoute, GCP Interconnect

Design, maintain, and operate multi-cloud infrastructure (AWS, Azure, GCP)
Develop CI/CD pipelines using GitHub Actions, GitLab CI/CD, AWS CodeBuild
Automate infrastructure provisioning (IAC) using Terraform, AWS CDK, CloudFormation
Operate Kubernetes clusters (EKS, AKS, GKE) with Helm
Implement observability and monitoring using Grafana, Datadog, Prometheus, CloudWatch
Build dashboards for SLA, availability, performance and cost insights
Automate deployments, blue/green releases, rollbacks, and patching workflows
Enforce security best practices: IAM policies, VPC, WAF, encryption, audit logging
Manage cloud IAM across AWS Organizations, Azure AD and GCP Cloud IAM
Investigate and resolve production issues across distributed systems
Collaborate with application developers to increase deployment maturity
Propose and integrate cutting-edge technologies (e.g., serverless, event-driven)