Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com.
Role: Senior DevOps & Infrastructure Engineer
Location: Brazil
Experience Level: 5+ years in cloud, infrastructure, DevOps, SRE, or platform engineering
Work Model: Remote within Brazil, with regular working-hour overlap with U.S. Pacific Time and participation in a global on-call rotation
Why Join Turing?
Join Turing's global Infrastructure Engineering team and help build the cloud infrastructure and developer platform that power our business. You will make the systems engineers rely on more reliable, secure, scalable, and efficient as the company grows.
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 WillOwn Multi-Cloud ReliabilityOperate 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 PlatformBuild 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 KubernetesRun 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 DefaultDesign 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 StandardUse 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-SellOn-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.
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.
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.
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.
Our Senior DevOps & Infrastructure Engineers Typically HaveProduction 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.
Automation capability: Strong scripting or programming skills in Python, Go, Shell, or equivalent technologies, with a bias toward replacing manual work with repeatable systems.
Operational ownership: Experience handling complex incidents, conducting root-cause analysis, communicating clearly, and following through on improvements that prevent recurrence.
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.
- 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.
Skills Required
- 5+ years of experience in cloud, infrastructure, DevOps, SRE, or platform engineering
- Hands-on ownership of production GCP environments
- Independent experience with Terraform and infrastructure as code
- Experience with CI/CD systems such as GitHub Actions, Jenkins, Cloud Deploy, or equivalents
- Production Kubernetes experience
- Strong knowledge of cloud architecture, distributed systems, VPCs, firewalls, load balancers, WAFs, and cloud security
- Strong scripting or programming skills in Python, Go, Shell, or equivalent technologies
- Experience handling complex incidents, conducting root-cause analysis, and implementing preventive improvements
- Operational experience in AWS or Azure alongside GCP
- Experience with Ansible, Chef, or Puppet
- Experience securing containers across Docker, Kubernetes, or GKE
- Experience with GCP Organization Policies, VPC Service Controls, Access Context Manager, and Binary Authorization
- Google Cloud Professional certifications or comparable cloud credentials
Turing Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Turing and has not been reviewed or approved by Turing.
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Fair & Transparent Compensation — Feedback suggests USD-denominated pay and access to higher-paying clients can outpace local benchmarks for many non‑U.S. developers. Payout timing and processing are described as predictable once engagements begin, which supports confidence in earnings.
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Wellbeing & Lifestyle Benefits — Feedback suggests remote‑first work with flexible hours is a consistent positive that enhances day‑to‑day balance. The ability to work from anywhere and maintain autonomy is frequently highlighted as part of the overall rewards experience.
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Healthcare Strength — Feedback suggests some U.S. corporate roles include comprehensive health benefits, with individual accounts referencing employer‑covered medical insurance. These signals indicate stronger healthcare support for certain employee populations.
Turing Insights
What We Do
We now live in a remote-first world and every company is in a race to find the best remote engineers. There are so many amazing engineers all over the world. Turing’s mission is to help unleash the world’s untapped human potential. More than 300 companies, including those backed by Google Ventures, Bloomberg, Andreessen, Founders Fund, and Kleiner are already using Turing to spin up their engineering dream teams. Turing’s hiring platform combines the planetary reach and AI to deliver your ideal engineers in order to help you spin up your engineering dream team. Our deep matching intelligence finds the best Turing developers across 100+ skills like React, Node, Python, Golang, Angular, Swift, Java, and many more. As part of our rigorous vetting process, we also review software engineers’ technical abilities, English skills, and remote working capabilities. Turing ensures time zone overlap, transparency, and reliable communication in order to make remote development easy for you after the match. The Turing team has deep expertise in AI and building engineering dream teams in the U.S. at top companies. Turing company is backed by well-known investors like Facebook’s initial CTO (Adam D’Angelo), executives from Google, Facebook, Amazon, Twitter, Founders Fund (investors in Facebook, Tesla, Asana, etc). Turing.com is led by serial A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan, their last A.I. firm leveraged remote talent and had a successful acquisition.
