DevOps Engineer

dentsu

13d•$68,000 - $110,400•Remote

About The Position

About Us We are a leading global media agency, shaping the future of content, advertising, and audience engagement across platforms. Our product organization powers innovative solutions for clients worldwide, leveraging data, technology, and creativity. Role Overview We are seeking a DevOps Engineer to join our AI and Innovation team. You will be responsible for ensuring the systems we build are scalable, secure, observable, and resilient. You will support projects from prototype to production, fostering a low-friction environment for developers, AI Engineers, and UX designers as we build the apps that will redefine next-generation media experiences.

Requirements

2-4 years in a DevOps role, with required experience supporting Kubernetes-based applications.
A curious, detail-oriented, and collaborative individual passionate about creating seamless user experiences. Ability to thrive in a fast-paced environment with rotating projects and short deadlines.
Bachelor's degree in Computer Science, Software Engineering, CIS, or a related field (or equivalent experience).
Cloud-Native Infrastructure (Azure preferred)
CI/CD Process and Implementation (GitHub Actions preferred)
Containerization (Docker, Kubernetes)
Infrastructure as Code (Terraform, Helm)
Linux & Git
Strong problem-solving and troubleshooting abilities

Nice To Haves

Experience with taking care of Python applications or custom AI-based applications
Knowledge and experience in implementing application security principles in a Production setting
Familiarity with Observability implementation (e.g., Grafana, Prometheus, ect)
Experience in an on-call rotation
Experience with Node.js applications
Experience with end-to-end testing frameworks (e.g., Playwright)

Responsibilities

Work closely with UX and AI engineers to build and integrate production-ready, containerized applications in a shared cloud environment.
Implement and manage CI/CD pipelines for AI applications, ensuring reliability, scalability, and performance.
Partner with security and compliance teams to implement best practices, including role-based access control and vulnerability management.
Collaborate with the development team to diagnose and resolve complex issues across development and production environments.
Evaluate and integrate modern DevOps and Observability tools to enhance insights into our AI-powered applications.
Contribute to and uphold best practices for DevOps, InfoSec, and Infrastructure within the global team.