Senior DevOps & Infrastructure Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior DevOps & Infrastructure Engineer based in Brazil.

Join a global Infrastructure Engineering team responsible for the cloud foundation and developer platform powering a rapidly growing AI-focused business.

You’ll take hands-on ownership of production infrastructure across GCP, AWS, and Azure, with a strong emphasis on reliability, security, and scalability.

The role combines cloud operations, infrastructure as code, Kubernetes, CI/CD, developer tooling, networking, and automation.

You’ll turn complex operational challenges and manual processes into resilient, repeatable, and automated solutions.

Working closely with application and security teams, you’ll help engineers ship faster while maintaining high standards for operational excellence.

You’ll also contribute to incident response, root-cause remediation, cloud optimization, and initiatives that improve developer productivity.

This is a remote role in Brazil, with working hours generally overlapping with U.S. Pacific Time and participation in a shared global on-call rotation.

Accountabilities

• Own and continuously improve production cloud infrastructure across GCP, AWS, and Azure, focusing on reliability, scalability, performance, capacity, observability, and cost efficiency.
• Participate in a global on-call rotation, lead incident response, troubleshoot complex production issues, conduct root-cause analysis, and drive lasting remediation.
• Build and maintain developer platforms, release pipelines, deployment automation, and engineering tooling using technologies such as GitHub Actions, Google Cloud Build, Jenkins, and related CI/CD solutions.
• Design, maintain, and improve secure Terraform-based infrastructure as code, including reusable modules and automated infrastructure workflows.
• Develop automation and operational tooling using Python, Go, Shell, or comparable programming and scripting languages.
• Operate production Kubernetes and GKE environments, covering deployment, scaling, networking, security, observability, and troubleshooting.
• Design and troubleshoot cloud networking components including VPCs, firewalls, load balancers, routing, DNS, and WAFs.
• Partner with security and engineering teams to implement secure-by-default infrastructure, covering identity and access management, network security, secrets management, container security, and infrastructure protection.
• Use AI-assisted engineering tools to support log analysis, debugging, troubleshooting, optimization, and operational workflows.
• Collaborate with application teams on scalable architectures, deployments, production challenges, and operational best practices.
• Mentor fellow engineers and lead initiatives that raise the standards for infrastructure reliability, security, automation, and developer productivity.

Requirements

• 5+ years of professional experience in cloud infrastructure, DevOps, SRE, platform engineering, or a related discipline, including hands-on experience operating GCP production environments.
• Strong practical experience with Terraform/IaC, CI/CD, and production Kubernetes, using tools such as GitHub Actions, Jenkins, Google Cloud Build, Cloud Deploy, or equivalent technologies.
• Solid understanding of cloud architecture, distributed systems, and networking, including VPCs, firewalls, load balancers, routing, DNS, and WAFs.
• Experience securing cloud environments, preferably within GCP, and applying infrastructure security and operational best practices.
• Strong programming or scripting capabilities in Python, Go, Shell, or equivalent languages.
• Demonstrated experience responding to production incidents, troubleshooting complex infrastructure problems, and performing root-cause analysis.
• Strong ownership, communication, analytical thinking, and problem-solving skills, with the ability to work independently in a distributed environment.
• Willingness and ability to participate in a shared global on-call rotation supporting infrastructure availability during scheduled periods.
• Experience independently operating AWS or Azure environments is a strong advantage.
• Familiarity with Ansible, Chef, or Puppet is a plus.
• Experience securing containers across Docker, Kubernetes, or GKE is desirable.
• Knowledge of advanced GCP security controls such as Organization Policies, VPC Service Controls, Access Context Manager, and Binary Authorization is beneficial.
• Relevant cloud certifications, particularly Google Cloud Professional certifications, are an advantage.
• A proactive, client-focused, agile, and AI-forward mindset, with an interest in using emerging technologies to improve engineering productivity.

Benefits

• Opportunity to work at the forefront of AI and contribute to infrastructure supporting advanced AI development.
• Exposure to cutting-edge AI research, datasets, reinforcement learning environments, and evaluation benchmarks.
• Opportunity to contribute to work showcased at leading AI and technology conferences.
• Experience applying frontier AI innovation to real-world enterprise challenges.
• Collaboration with highly experienced colleagues from leading global technology companies.
• Startup-style pace, ownership, and the opportunity to make a meaningful impact.
• Remote working opportunity for candidates based in Brazil.
• Global, distributed working environment with opportunities to collaborate internationally.
• Strong focus on learning, innovation, and continuous professional development.
• Inclusive workplace that values diverse perspectives, backgrounds, and authentic contributions.