Senior DevOps & Infrastructure Engineer

We expect this level of expertise to be consistent with 5+ years of experience in cloud, infrastructure, DevOps, SRE, or platform engineering, including hands-on work in GCP production environments .

Independent experience with Terraform/IaC, CI/CD , using tools such as GitHub Actions, Jenkins, Cloud Deploy, or equivalent, and Kubernetes in production .

Strong understanding of cloud architecture, distributed systems, and networking , including VPCs, firewalls, load balancers, and WAFs, along with experience securing cloud environments, preferably in GCP.

Strong scripting or programming skills in Python, Go, Shell , or equivalent.

Experience responding to production incidents, troubleshooting complex issues, and conducting root-cause analyses.

Strong communication, ownership, and problem-solving skills.

Willingness to participate in an on-call rotation alongside a globally distributed infrastructure team.

Ability to independently operate AWS or Azure environments.

Ability to independently use Ansible, Chef, or Puppet .

Ability to independently secure containers across Docker, Kubernetes, or GKE .

Experience with advanced GCP controls, including Organization Policies, VPC Service Controls, Access Context Manager, and Binary Authorization .

Relevant cloud certifications, particularly Google Cloud Professional certifications .

We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.

We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection

We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.

Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.

Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.

Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges.

Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.

Move at the pace of AI innovation , with the speed, ownership, and impact of a startup.

Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

For applicants from the European Union, please review Turing's GDPR notice here .