Turing - Senior DevOps & Infrastructure Engineer
Requirements
• Work Model: Remote within Brazil, with regular working-hour overlap with U.S. Pacific Time and participation in a global on-call rotation • Work Model: • Global-team cadence: Regular working-hour overlap with U.S. Pacific Time is expected. Clear communication and dependable collaboration across time zones are core to the role. • Global-team cadence: • Our Senior DevOps & Infrastructure Engineers Typically Have • Production GCP experience: Typically 5+ years in cloud, infrastructure, DevOps, SRE, or platform engineering, including hands-on ownership of GCP production environments. • Infrastructure-as-code and delivery fluency: Independent experience with Terraform, CI/CD systems such as GitHub Actions, Jenkins, Cloud Deploy, or equivalents, and production Kubernetes. • Cloud and networking depth: Strong knowledge of cloud architecture, distributed systems, VPCs, firewalls, load balancers, WAFs, and securing cloud environments. • Cloud and networking depth: • Automation capability: Strong scripting or programming skills in Python, Go, Shell, or equivalent technologies, with a bias toward replacing manual work with repeatable systems. • Automation capability: • Operational ownership: Experience handling complex incidents, conducting root-cause analysis, communicating clearly, and following through on improvements that prevent recurrence. • Operational ownership: • Top-Tier Candidates Will Have • Independent operational experience in AWS or Azure alongside GCP. • Experience with configuration-management tooling such as Ansible, Chef, or Puppet. • Experience securing containers across Docker, Kubernetes, or GKE. • Experience with advanced GCP controls, including Organization Policies, VPC Service Controls, Access Context Manager, and Binary Authorization. • Google Cloud Professional certifications or comparable cloud credentials. • Values • Values • 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 are client first: • We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection • We work at Start-Up Speed: • 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. • We are AI forward: • Advantages of joining Turing • 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. • Work at the frontier of AI • Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. • Contribute to leading-edge AI research • Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges. • Bring frontier AI innovation to the enterprise • Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. • Collaborate with and learn from exceptional colleagues • Move at the pace of AI innovation, with the speed, ownership, and impact of a startup. • Move at the pace of AI innovation
Responsibilities
• Broad infrastructure ownership: This is not a narrow CI/CD or cloud-administration role. You will work across GCP, AWS, Azure, Kubernetes, developer tooling, networking, security, and reliability. • Broad infrastructure ownership: • Hands-on engineering required: The role is for a builder who can write automation, develop Terraform modules, troubleshoot production systems, and make technical decisions directly.
Benefits
• This is a hands-on role for an engineer who enjoys turning manual work into durable automation, solving difficult production problems, and raising the bar for operational excellence. You will work across cloud infrastructure, reliability, developer tooling, and security in close partnership with application and security teams. • You will have meaningful ownership in a globally distributed team: working regularly with colleagues in U.S. Pacific Time, participating in the shared on-call rotation, and building systems that allow engineers to ship faster with confidence. • As the Senior DevOps & Infrastructure Engineer, You Will • Own Multi-Cloud Reliability • Operate and continuously improve production infrastructure across GCP, AWS, and Azure. Lead incident response, troubleshoot complex issues, drive root-cause remediation, and improve monitoring, logging, alerting, performance, capacity, and cloud-cost efficiency. • Build the Developer Platform • Build and support engineering platforms, release pipelines, and deployment automation using GitHub Actions, Google Cloud Build, Jenkins, and related tooling. Develop reusable Terraform modules and automate workflows with Python, Go, Shell, or similar technologies. • Operate Production Kubernetes • Run production Kubernetes and GKE environments across deployment, scaling, networking, security, observability, and troubleshooting. Build infrastructure that is secure and scalable without making engineering teams slower. • Secure Infrastructure by Default • Design and troubleshoot cloud networking, including VPCs, firewalls, load balancers, routing, DNS, and WAFs. Partner with security and engineering teams on identity and access management, secrets management, network security, and broader infrastructure-security controls. • Raise the Operating Standard • Use AI-assisted engineering tools to improve log analysis, debugging, troubleshooting, and optimization. Collaborate on scalable architectures and production best practices, mentor engineers, and lead initiatives that improve reliability, security, and developer productivity. • The Anti-Sell • On-call is part of the job: You will participate in a shared global on-call rotation, respond to production incidents, and carry work through root-cause analysis and durable remediation.
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