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.
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.
- 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.
- 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.
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.
- 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 experience in GCP production environments
- Independent experience with Terraform or infrastructure as code
- Experience with CI/CD tools such as GitHub Actions, Jenkins, Cloud Deploy, or equivalent
- Experience operating Kubernetes in production
- Strong understanding of cloud architecture, distributed systems, and networking
- Experience securing cloud environments
- 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 a global on-call rotation
- 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
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.
