---
title: 'Senior DevOps & Infrastructure Engineer at Turing'
canonical: 'https://feeny.ai/job/senior-devops-infrastructure-engineer-turing-colombia-huila-jwhzmnmnvt79'
type: 'job'
last_seen: '2026-09-09'
---

# Senior DevOps & Infrastructure Engineer at Turing

- **Company:** Turing
- **Location:** Colombia Huila, Colombia / São Paulo, Brazil
- **Work type:** remote
- **Posted:** 2026-08-30
- **Last confirmed live:** 2026-09-09
- **Apply:** https://job-boards.greenhouse.io/turing/jobs/6174327004

## Job description

## About Turing

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](http://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.

## 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.

## What We’re Looking For

- 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.

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 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.

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.
- 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](https://www.turing.com/policy).

## About Turing

## Company Overview
- **One-liner**: Turing is an AI company that partners with leading AI labs and enterprises to advance frontier model capabilities and deploy end-to-end AI systems for mission-critical workflows.
- **Entity Type**: Private (raised $111M at a $2.2B valuation)
- **Headquarters**: San Francisco, California, United States (also offices in Palo Alto, CA)
- **Founded**: 2018
- **Founders**: Jonathan and Vijay (computer science alumni)

## Core Business
- Primary industry: Artificial Intelligence, Technology, Information and Internet
- Target customers: B2B, including Fortune 500 companies, frontier AI labs, and enterprises
- Mission: “Accelerate superintelligence to drive real economic progress”
- Operates across multiple areas: reasoning, coding, multimodality, multilinguality, STEM, agentic behavior, and frontier knowledge

## Products & Services
- **Frontier AI Lab Partnerships**: Collaborate with leading AI labs to build data, evaluations, and benchmarks that push the AI frontier forward (e.g., RL environments, data generation for pre-training/post-training).
- **Enterprise AI Systems**: Build and deploy end-to-end AI systems for mission-critical enterprise workflows.
- **Turing Talent Cloud**: AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts used to train models and build AI applications.
- **ALAN Platform**: AI-powered platform for matching, managing talent, and generating high-quality human and synthetic data for model evals, fine-tuning, RLHF, and benchmarking.

## Market Standing
- **Valuation/Market Cap**: $2.2 billion (most recent funding round amount not explicitly dated, but cited on careers page)
- **Key Metric**: Total funding of $111M (from the $2.2B valuation round)
- **Notable Investors/Partners**: Adam D’Angelo (Facebook’s first CTO), Foundation Capital (backers of Netflix, Uber), executives from Microsoft, and others. Partners include Fortune 500 companies.
- **Growth Signals**: 48.1% YoY employee growth (reaching 3,896 employees), #1 on The Information’s “Top 50 Most Promising B2B Companies”, named one of Fast Company’s top 10 companies in the Workplace category, active job postings of 2,700 (+66.9% YoY).

## Competitive Advantages
- AI-vetted talent pool of over 4 million professionals, enabling rapid scaling of AI projects.
- Proprietary ALAN platform that orchestrates talent matching, data generation, and model evaluation.
- Deep partnerships with frontier AI labs, including work on large-scale RL environments and data generation.
- History of being built by engineering leaders from Facebook, Microsoft, and other top tech companies.
- Strong brand recognition and trust among enterprise clients (zero-risk trial for hiring).

## Strategic Focus
- Advancing artificial general intelligence (AGI) by improving model capabilities in reasoning, coding, agentic behavior, and multimodality.
- Expanding enterprise AI deployment across industries (e.g., financial services, robotics, STEM).
- Scaling the talent cloud and ALAN platform to support pre-training, post-training, and AI application development.
- Growing the workforce with a focus on research, engineering, and data science roles.

## Why Work Here
- **Culture**: Emphasizes “client first”, “startup speed”, “AI forward”, and “work with joy”. Described as a fast-paced, innovative environment.
- **Remote/Hybrid**: Many roles are remote-first globally, with offices in San Francisco and Palo Alto for in-person collaboration.
- **Perks**: Work on frontier AI technology with top labs; flexible, well-paid remote work; opportunities to contribute to superintelligence; strong career growth (48% YoY headcount increase).
- **Engineering Culture**: Heavy focus on R&D, research engineering, and data science; roles include Principal Research Engineer, Robotics Engineer, and Head of Applied AI Lab.
- **Workforce Diversity**: Operates in 100+ countries, with employees from India, US, Pakistan, Nigeria, Brazil, etc.

## Sources
1. [careers.turing.com](https://careers.turing.com/)
2. [job-boards.greenhouse.io/turing](http://job-boards.greenhouse.io/turing)
3. [linkedin.com/company/turingcom](https://www.linkedin.com/company/turingcom)
4. [welcome.turing.com/about/](https://welcome.turing.com/about/)
5. [turing.com/jobs](https://www.turing.com/jobs)

## Other roles at Turing

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- [Strategic Project Lead - Code](https://feeny.ai/job/strategic-project-lead-code-turing-india-sfk0wnms76fw) — India
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- [Product Manager, Finance](https://feeny.ai/job/product-manager-finance-turing-new-york-new-york-crn55k6792ry) — New York New York, United States
- [People Systems & Operations Manager](https://feeny.ai/job/people-systems-operations-manager-turing-brazil-colombia-huila-colombia-fehabm9q83pv) — Brazil / Colombia Huila, Colombia
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