Senior DevOps, Infrastructure Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Operate and enhance production infrastructure across GCP, AWS, and Azure platforms.

• Lead incident management, troubleshoot intricate problems, drive root-cause analysis, and enhance monitoring, logging, alerting, performance, capacity, and cost efficiency in the cloud.

• Construct and maintain engineering platforms, release pipelines, and automate deployments using GitHub Actions, Google Cloud Build, Jenkins, and other relevant tools.

• Create reusable Terraform modules and automate workflows utilizing Python, Go, Shell, or similar languages.

• Manage production Kubernetes and GKE environments, focusing on deployment, scaling, networking, security, observability, and troubleshooting.

• Design and troubleshoot cloud networking solutions, including VPCs, firewalls, load balancers, routing, DNS, and WAFs.

• Collaborate with security and engineering teams on identity and access management, secrets management, network security, and infrastructure security protocols.

• Leverage AI-assisted engineering tools to enhance log analysis, debugging, troubleshooting, and optimization efforts.

• Work together on scalable architectures and best practices for production.

• Mentor fellow engineers and spearhead initiatives to enhance reliability, security, and developer productivity.

• Engage in a shared global on-call rotation and oversee incidents from root-cause analysis to sustainable remediation.

⛳️ Requirements

• 5+ years of experience in cloud computing, infrastructure, DevOps, SRE, or platform engineering.

• Proven hands-on experience managing GCP production environments.

• Independent proficiency with Terraform.

• Familiarity with CI/CD systems such as GitHub Actions, Jenkins, Cloud Deploy, or similar platforms.

• Experience with production-level Kubernetes environments.

• In-depth knowledge of cloud architecture and distributed systems.

• Strong understanding of VPCs, firewalls, load balancers, WAFs, and securing cloud environments.

• Proficient in scripting or programming with Python, Go, Shell, or equivalent technologies.

• Experienced in managing complex incidents and performing root-cause analysis.

• Independent operational experience in AWS or Azure, in addition to GCP.

• Knowledge of configuration management tools such as Ansible, Chef, or Puppet.

• Skilled in securing containers across Docker, Kubernetes, or GKE.

• Familiarity with advanced GCP controls, including Organization Policies, VPC Service Controls, Access Context Manager, and Binary Authorization.

• Possession of Google Cloud Professional certifications or equivalent cloud credentials.

🏝️ Benefits

• Work remotely from anywhere in Brazil.

• Significant ownership within a globally distributed team.

• Opportunity to be at the forefront of AI technology.

• Chance to contribute to cutting-edge AI research and present findings at prestigious conferences such as ICLR, ICML, and NeurIPS.

• Opportunity to apply innovative AI solutions to enterprise challenges.

• Collaboration and learning from exceptional colleagues with extensive AI expertise.

• Fast-paced startup environment that fosters ownership and impact.