Senior Engineer, DevOps (US)
Core
Own the infrastructure, tooling, and developer experience for AI-native digital platforms powering marketing workflows.
Role type
Senior DevOps Engineer (AI-native)
Builds
Scalable cloud infrastructure, CI/CD pipelines, and observability systems for marketing AI platforms
Domain
Cloud Infrastructure & DevOps for AI/ML platforms
Deliverable
production ML models | infrastructure
Required skills
AWS/GCP/Azure cloud infrastructure, Terraform, CloudFormation, Ansible, CI/CD pipelines, Docker, Kubernetes, high-availability architecture, serverless architectures, DevSecOps, Linux administration, bash/Python scripting, networking, Git, cloud cost optimization, AI-enabled development tools, AI agent workflow orchestration, AI output hardening
Preferred skills
Agency/consultancy/enterprise SaaS experience, cloud certifications
Technologies
AWS, GCP, Azure, Terraform, CloudFormation, Ansible, GitHub Actions, Bitbucket Pipelines, Jenkins, Docker, Kubernetes, Fastly, AWS CloudFront, Vercel, Netlify, WP Engine, Snyk, SonarQube, AWS Secrets Manager, HashiCorp Vault, New Relic, Datadog, AWS CloudWatch, NGINX, Traefik, GitHub, Bitbucket, Azure DevOps
Responsibilities
Design and maintain scalable cloud infrastructure across AWS, GCP, and Azure; Build and evolve CI/CD pipelines; Embed DevSecOps principles; Lead IaC practices; Own observability; Drive cloud cost optimization; Partner with engineering teams to improve developer experience; Maintain architecture documentation and runbooks
Seniority
Senior, hands-on IC
