Code and Theory
Senior Engineer, DevOps (US)
New York, New York, United States · Senior
Sponsorship not specified$110k-$150kDetected 13 days ago
PythonBashGitAWSGCPAzureCloud PlatformsDockerKubernetesTerraformAnsibleCI/CDGitHub ActionsJenkinsLinuxNginxDatadogDevOpsCybersecurityBrand StrategyWordPressCommunicationCollaboration
About the role
- 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.
Responsibilities
- 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
- 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
Requirements
- 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
- 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
- Experience with Snyk, SonarQube, AWS Secrets Manager, and HashiCorp Vault
- Experience with observability platforms - New Relic, Datadog, or AWS CloudWatch
- Proficiency scripting in bash and Python for automation and internal tooling
Nice to have
- Experience in agency, consultancy, or enterprise SaaS organizations
- AWS, GCP, or Azure cloud certifications
Skills
- The Machine is the agentic operating system for marketing, built by Code & Theory.
- The Machine helps power agencies across Stagwell's network and world-leading brands.
- Our engineers are AI native and engage in and advance the state of the art in the practice of software development flow with AI.
- from tech to CPG, financial services to travel & hospitality, government and education to media and publishing.
- The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent.
Compensation
- The base compensation range for this role is $110,000 – $150,000 and spans multiple levels.
Company info
- 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.
- We're always on the lookout for smart, driven, and forward-thinking people to join our team.
- The base 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.
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