Senior DevOps, Infrastructure Engineer

Job not on LinkedIn

🔥 42 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

👷 Infrastructure Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Turing

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2018

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Turing is a leading company in the field of artificial intelligence, specializing in the advancement of AGI (Artificial General Intelligence) and the evaluation and training of large language models (LLMs). Turing offers a comprehensive range of AI solutions, including model performance assessments, multimodal capabilities integration, and custom engineering for enterprises looking to optimize their AI operations. The company bridges cutting-edge AI research with practical applications, empowering organizations to leverage advanced AI for various real-world challenges.

📋 Description

• 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 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 • Run production Kubernetes and GKE environments across deployment, scaling, networking, security, observability, and troubleshooting • 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 infrastructure-security controls • 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 • Participate in a shared global on-call rotation and carry incidents through root-cause analysis and durable remediation

🎯 Requirements

• 5+ years in cloud, infrastructure, DevOps, SRE, or platform engineering • Hands-on ownership of GCP production environments • Independent experience with Terraform • Experience with CI/CD systems such as GitHub Actions, Jenkins, Cloud Deploy, or equivalents • Experience with production Kubernetes • Strong knowledge of cloud architecture and distributed systems • Strong knowledge of VPCs, firewalls, load balancers, WAFs, and securing cloud environments • Strong scripting or programming skills in Python, Go, Shell, or equivalent technologies • Experience handling complex incidents and conducting root-cause analysis • 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

🏖️ Benefits

• Work remotely within Brazil • Meaningful ownership in a globally distributed team • Opportunity to work at the frontier of AI • Opportunity to contribute to leading-edge AI research and showcase work at top conferences such as ICLR, ICML, and NeurIPS • Opportunity to bring frontier AI innovation to enterprise challenges • Collaboration and learning from exceptional colleagues with deep AI experience • Startup-speed environment with ownership and impact

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