Обязанности
•Automate environment promotion and rollouts
•Build CI CD pipeline for commit to production
•Build and manage monitoring and observability
•Build infrastructure for AI workloads
•Champion AI coding tools adoption
•Create progressive rollouts and automated rollback
•Define and track success metrics
•Design and operate highly available distributed systems
•Enable AI agent adoption and guardrails
•Enforce security policies in pipeline
•Implement and manage IAM and security boundaries
•Implement developer self-service workflows
•Lead and grow DevOps team
•Manage AWS and GCP networking and compute
•Measure platform KPIs and developer velocity
•Operate EKS clusters and Kubernetes
•Operate inference serving and model deployment
•Own infrastructure platform end to end
•Own secrets and vulnerability scanning
•Prioritize improvements using data
•Resolve operational blockers
•Set technical direction and roadmap
Условия
•Development programs
•Flexible work schedule
•Hybrid work
•Mental health insurance
•Occasional long weekends
•Private health insurance
•Professional development
Технологии: AI Agents, AI coding, AI coding tools, AWS EKS, AWS IAM, AWS Lambda, AWS Security, AWS Security Hub, Amazon CloudWatch, Amazon MSK, Amazon S3, Amazon VPC, Amazon Web Services, CI/CD, Cloud Build, Cloud Run, Cloud platform, CloudFront, Coding Tools, DNS, EC2, GKE, GPU Computing, GitHub Actions, Google Cloud, Google Cloud Build, Google Cloud Platform, Google Cloud Run, Google Kubernetes, Google Kubernetes Engine, Grafana, Helm, Inference Serving, Infrastructure as Code, Kubernetes, Kubernetes Engine, Linux, Load Balancing, Model Deployment, Monitoring and observability, Multi-account, Multi-region, Network Segmentation, Prometheus, RBAC, Secrets management, Security Hub, Service Mesh, TCP/IP, Terraform, Vulnerability scanning, Web Services, “as-code”