Senior Engineer, DevOps (US)
$110,000–$150,000 year
On-siteNew York, United States
Job Summary
Design and maintain scalable cloud infrastructure across AWS, GCP, and Azure, building CI/CD pipelines and embedding DevSecOps principles for fast, safe software delivery. Lead IaC practices with Terraform, CloudFormation, and Ansible while owning observability, monitoring, and alerting across all systems. Drive cloud cost optimization, identify inefficiencies, and partner with engineering teams to improve developer experience and remove SDLC friction. Maintain architecture documentation, runbooks, and post-mortems to support continuous improvement. This role requires extensive experience with multi-cloud environments, IaC tools, and Kubernetes, along with strong scripting skills in bash and Python. The position is a Senior Engineer level, offering a base compensation range of $110,000 – $150,000. Code & Theory is a digital-first creative agency with teams distributed globally, working with Fortune 100 clients including Adidas, Amazon, and Microsoft.
Required Qualifications
- Extensive experience provisioning and managing cloud infrastructure on AWS, GCP, and/or Azure
- Strong proficiency with IaC tools — Terraform, AWS CloudFormation, and Ansible
- Experience with CI/CD pipelines in GitHub Actions, Bitbucket Pipelines, or Jenkins
- Deep expertise with Docker and Kubernetes
- Experience designing high-availability, fault-tolerant architectures
- Solid understanding of deployment strategies: blue-green, canary releases, and feature flags
- Experience with serverless architectures — AWS Lambda, GCP Cloud Functions, or Azure Functions
- Familiarity with edge platforms and CDNs such as Fastly and AWS CloudFront
- Experience with developer platforms such as Vercel, Netlify, and WP Engine
- Deep understanding of security best practices and hands-on DevSecOps experience
- Experience with Snyk, SonarQube, AWS Secrets Manager, and HashiCorp Vault
- Experience with observability platforms — New Relic, Datadog, or AWS CloudWatch
- Solid Linux administration and experience configuring NGINX, Traefik, and load balancers
- Proficiency scripting in bash and Python for automation and internal tooling
- Deep understanding of networking, cloud architectures, and web application design
- Experience with Git and managed platforms such as GitHub, Bitbucket, and Azure DevOps
- Experience implementing cloud cost optimization and FinOps practices
- Strong communication skills — able to discuss complex technical topics and author clear documentation
- Comfortable leveraging AI-enabled development tools and workflows to accelerate engineering, automation, debugging, and operational tasks
- Experience orchestrating multi-step AI or agent-driven workflows, including selecting appropriate models, tools, and execution patterns for different use cases
- Strong judgment reviewing and hardening AI-assisted output for security, scalability, maintainability, and architectural fit
- Experience building or maintaining prompts, evaluation frameworks, documentation, or operational context systems that improve engineering velocity and reliability
- Familiarity with automated evaluation and feedback loops for AI-enabled systems and workflows
Desired Qualifications
- Experience in agency, consultancy, or enterprise SaaS organizations
- AWS, GCP, or Azure cloud certifications
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