Senior Devops Engineer
Core
Design, scale, and optimize AWS infrastructure and CI/CD pipelines for high-performance, media-centric applications and AI-driven data workflows.
Role type
Senior DevOps Engineer (Cloud Infrastructure & AI/ML Ops)
Builds
Scalable AWS infrastructure, Kubernetes clusters, CI/CD pipelines, and AI/ML data workflows for media search and management.
Domain
Cloud Infrastructure, Media Technology, AI/ML Operations
Deliverable
production ML models | infrastructure
Required skills
AWS ecosystem (EC2, S3, ECS, Fargate, VPC, RDS), Kubernetes, Terraform, CI/CD automation, Linux system administration, NoSQL databases (DocumentDB/OpenSearch), observability tools, scripting (Bash/Python), security scanning integration.
Preferred skills
AWS Bedrock, GPU infrastructure management (RunPod), AI/ML pipeline deployment, media workflow optimization, search indexing strategies.
Technologies
AWS, Kubernetes, Terraform, OpenSearch, DocumentDB, Bedrock, RunPod, SonarQube, Trivy, AWS Security Hub, AWS GuardDuty, AWS Config, ECS, Fargate, ECR.
Responsibilities
Design and manage scalable, secure, and highly available AWS infrastructure; Set up and operate Bedrock, OpenSearch, and DocumentDB for AI-driven workflows; Manage and optimize Kubernetes clusters; Build and maintain robust CI/CD pipelines; Implement Infrastructure as Code (IaC); Monitor system health and performance; Optimize cloud costs and resource utilization; Ensure high availability, backup, and disaster recovery strategies; Enforce security best practices across infrastructure and pipelines.
Seniority
Senior, hands-on IC
