Senior Engineer, DevOps (US)

About Code and Theory The Code and Theory Network is the only technology and creative network with a balance of 50% creative and 50% engineers. Our unique makeup makes us the place where CMOs, CTOs and CIOs come together to drive results for their businesses. We partner with our clients to redefine what is possible to create lasting impact and drive long-term growth. Part of Stagwell, Code and Theory offers a global footprint and the capabilities to work across the entirety of the customer-facing journey and implement the technology that powers it. The network includes the flagship agency Code and Theory as well as Kettle, Instrument, Left Field Labs, Truelogic, Create. Group and Current. Code and Theory clients include Amazon, JPMorganChase, Microsoft, NBC, NFL and Yeti. For more, visit codeandtheory.com

• Design and maintain scalable cloud infrastructure across AWS, GCP, and Azure
• with a focus on high availability and operational excellence
• Build and evolve CI/CD pipelines for fast, safe software delivery — from
• commit to production
• Embed DevSecOps principles across the pipeline: security scanning, secrets
• management, and compliance by default
• Lead IaC practices with Terraform, CloudFormation, and Ansible — keeping
• environments reproducible and auditable
• Own observability: monitoring, alerting, logging, and tracing across all
• systems
• Drive cloud cost optimization, identifying inefficiencies and right-sizing
• resources proactively
• Partner with engineering teams to improve developer experience and remove
• friction from the SDLC
• Maintain architecture documentation, runbooks, and post-mortems to support a
• culture of continuous improvement

Required

• Extensive experience provisioning and managing cloud infrastructure on AWS,
• GCP, and/or Azure
• Strong proficiency with IaC tools — Terraform, AWS CloudFormation, and
• Experience with CI/CD pipelines in GitHub Actions, Bitbucket Pipelines, or
• 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,
• 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 with Snyk, SonarQube, AWS Secrets Manager, and HashiCorp Vault
• Experience with observability platforms — New Relic, Datadog, or AWS
• 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
• 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

Preferred

• AWS, GCP, or Azure cloud certifications