[Hiring] Senior DevOps & Infrastructure Engineer @Turing

Role Description

Join Turing’s global Infrastructure Engineering team as a Senior DevOps & Infrastructure Engineer based in Brazil. You’ll play a critical role in building and evolving the cloud infrastructure and developer platform that powers our business, helping make it more reliable, secure, scalable, and efficient as we grow.

This is a hands-on opportunity for an engineer who enjoys solving complex infrastructure challenges, turning manual processes into automation, and raising the bar for operational excellence. You’ll work across cloud infrastructure, developer tooling, reliability, and security while partnering closely with application and security teams to build systems that enable engineers to move faster with confidence.

The role’s regular working hours will generally overlap with U.S. Pacific Time, and the position will also participate in the shared global Infrastructure team’s on-call rotation.

What You’ll Work On

• Own Cloud Reliability at Scale:
  • Operate and continuously improve production infrastructure across GCP, AWS, and Azure.
  • Participate in a global on-call rotation, lead incident response, troubleshoot complex issues, drive root-cause remediation, and improve monitoring, logging, alerting, performance, capacity, and cloud cost efficiency.
  • Use AI-assisted engineering tools to support log analysis, debugging, troubleshooting, and optimization.
• Build the Developer Platform:
  • Build and support engineering platforms, release pipelines, and deployment automation using GitHub Actions, Google Cloud Build, Jenkins, and related tooling.
  • Design and maintain secure, scalable Terraform-based IaC, develop reusable modules, automate workflows with Python, Go, Shell, or similar technologies, and operate production Kubernetes/GKE environments across deployment, scaling, networking, security, observability, and troubleshooting.
• Secure and Shape the Future of Infrastructure:
  • Design and troubleshoot cloud networking, including VPCs, firewalls, load balancers, routing, DNS, and WAFs.
  • Partner with security and engineering teams to implement secure-by-default infrastructure and meet requirements across identity and access management, network security, secrets management, and infrastructure security.
  • Collaborate with engineering teams on scalable architectures, deployments, production issues, and operational best practices; mentor engineers and lead initiatives that improve reliability, security, and developer productivity.

Qualifications

• 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.

Bonus Points

• 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.

Benefits

• 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.