Experienced DevOps Engineer for AI Platform

About Teads

Teads is the omnichannel outcomes platform for the open internet, driving full-funnel results for marketers across premium media. With a focus on meaningful business outcomes for branding and performance objectives, the combined company ensures value is driven with every media dollar by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. One of the most scaled advertising platforms on the open internet, Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, with a global team of nearly 1,800 people in 30+ countries.

For more information, visit www.teads.com.

About The Opportunity

We are seeking an Experienced DevOps Engineer to join our AI Platform team.

In this role, you will manage and optimize cloud-based solutions, scale ML workloads, and work closely with data scientists and platform engineers.

You’ll be responsible for building CI/CD pipelines, managing cloud infrastructure with Terraform, and ensuring efficient deployment and optimization of Docker containers.

You will support machine learning experimentation, training, and deployment environments while implementing monitoring solutions for AI tools usage, system performance, and business metrics. The role interacts with Kubernetes environments when needed but does not manage the clusters themselves.

You will be a key contributor to the infrastructure that powers research, model training, and deployment, working alongside the team to ensure high availability, performance, and operational efficiency.

Responsibilities & Required Skills

• Manage and optimize cloud infrastructure and ML workloads (AWS, GCP, AWS Batch, SLURM, EKS, GPU compute).
• Build and maintain CI/CD pipelines for platform and ML services (Jenkins, GitLab CI, GitHub Actions).
• Manage infrastructure as code and automate environment provisioning (Terraform, Chef).
• Build, maintain, and optimize containerized workloads, improving image size, dependency management, and build pipelines (Docker, container registries).
• Work with Kubernetes environments when integrating workloads and deployments (Kubernetes, EKS, Helm).
• Strong experience with DevOps principles including automation, observability, and infrastructure management.
• Support and maintain research environments used by data scientists (JupyterHub).
• Monitor and optimize ML systems and data pipelines to ensure efficient resource utilization and performance
• Proactively identify optimization opportunities to improve performance, reduce costs, and streamline deployment processes.
• Ability to collaborate effectively with cross-functional teams including engineers, data engineers, data scientists, and infrastructure teams.
  
  

Bonus Points

• Knowledge of machine learning infrastructure and large-scale training environments.
• Experience optimizing GPU workloads and distributed compute environments.
• Experience with serverless or event-driven architectures (AWS Lambda).
• Familiarity with additional CI/CD tooling (GitLab CI, CircleCI).
• Ability to contribute to engineering tasks and development of ML systems.
  
  

We Care About You

• Hybrid working model (3 days per week in the office)
• Nearby parking available
• Expand your toolbox with our mentorship program and internal learning tools
• Pet friendly office
• Happy hours
• …and of course a fully stocked kitchen!
  
  

Please submit your CV in English

Life at Teads

At Teads, we don’t just offer new roles - we blend creativity, technology, and data to shape the future of media. You’ll work with smart humans, meaningful brands, and cool tools, all while helping redefine how advertising works in a world that demands more transparency, better insights, and smarter strategies.

Role

As a Teadster, you’ll play a critical role in shaping our future success in the region. Here’s why Teads stands out:

• We've merged two open internet category leaders—Outbrain and Teads—to create the ‘new’ Teads, a unified omnichannel platform that drives results from branding to performance across all screens, including CTV, mobile, and web.
• As part of our team, you’ll thrive in a collaborative and forward-thinking environment that fosters innovation, creative problem-solving, and continuous learning.
• Teads is committed to your success, offering the support, tools, and development opportunities you need to excel in your role.
  
  

Our company culture is welcoming, dynamic, diverse, global, and built on top performance.

Teads is an equal employment opportunity employer and committed to diversity and inclusion at all stages of recruitment and employment.

Our team is made up of individuals who are approachable, resourceful, passionate, and proactive. We foster a sense of belonging through our Employee Resource Groups – employee-led groups in which we debate topics and drive change: environmental, women empowerment, charitable initiatives to diversity, equity, and inclusion, you’ll be able to share your passions with likeminded people.