Senior Engineer, DevOps (US)

Code and Theory; New York (NY); On-site; USD 110,000 - 150,000; Full time

Job summary

Code and Theory seeks a Senior DevOps Engineer to own infrastructure, tooling, and developer experience for its AI-native platforms. You’ll work across cloud, CI/CD, security, and observability, partnering with cross-functional teams to ship faster and build more reliably.

Our engineers are AI-native and advance software development with AI. The role emphasizes IaC, deployment strategies, serverless, and cost optimization in a fast-paced agency setting.

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 Functions, or Azure Functions.
• Familiarity with edge platforms and CDNs (e.g., Fastly, CloudFront).
• Experience with developer platforms like Vercel, Netlify, WP Engine.
• DevSecOps experience and security tooling (Snyk, Vault).
• Observability platforms like New Relic, Datadog, CloudWatch.

Responsibilities

• Design and maintain scalable cloud infrastructure across AWS, GCP, and Azure.
• Build and evolve CI/CD pipelines for fast, safe software delivery—from commit to production.
• Embed DevSecOps principles across the pipeline with security scanning and secrets management.
• Lead IaC practices with Terraform, CloudFormation, and Ansible for reproducible environments.
• Own observability: monitoring, alerting, logging, and tracing across systems.
• Drive cloud cost optimization and proactive right-sizing of resources.
• Collaborate with engineering to improve developer experience and reduce SDLC friction.
• Maintain architecture docs, runbooks, and post-mortems for continuous improvement.

Skills

Cloud architecture

DevSecOps

CI/CD

IaC

Observability

SRE/operational excellence

Networking

Scripting (bash/python)

Security best practices

AI-enabled development tools

AI workflows

Education

Bachelor’s degree in CS or related field

Tools

Terraform

AWS CloudFormation

Ansible

GitHub Actions

Bitbucket Pipelines

Jenkins

Docker

Kubernetes

Cloud platforms

Job description

The Machine is the agentic operating system for marketing, built by Code and Theory. It plugs into the tools marketing teams use and turns disconnected workflows into a single intelligent system, connecting brand strategy, creative production, and media performance. The Machine helps power agencies across Stagwell's network and world-leading brands.

We're looking for a Senior DevOps Engineer to own the infrastructure, tooling, and developer experience powering our AI-native digital platforms. You'll work across cloud, CI/CD, security, and observability — partnering with cross functional teams to ship faster and build more reliably.

Our engineers are AI native and engage in and advance the state of the art in the practice of software development flow with AI.

WHAT YOU'LL DO

• 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

WHAT YOU'LL NEED

• 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

NICE TO HAVE

• Experience in agency, consultancy, or enterprise SaaS organizations
• AWS, GCP, or Azure cloud certifications

ABOUT US

Born in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology. We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients. With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve. We have teams distributed across North America, South America, Europe, and Asia. The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Current, and TrueLogic.

Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing. We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.

The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent. We’re always on the lookout for smart, driven, and forward-thinking people to join our team.

The compensation range for this role is $110,000 – $150,000 and spans multiple levels. We're open to hiring at the level that best matches the right candidate's experience. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, budget, and location.