Specialist ⅮevOps Engineer

At Platform Science, we’re working to connect everything that moves.

Founded in 2015, we are an open IoT platform that partners with innovative fleets, application developers, vehicle manufacturers, and equipment providers in the transportation industry to deliver revolutionary solutions to supply chain professionals across the globe.

Our employees are an engaging, diverse group of people who believe in the power of great ideas. We hire people with different experiences and perspectives to build a company culture that fuels growth through innovation.

We value thoughtful actions and empathy for others. We approach challenges with resiliency and creativity, while encouraging transparency because, no matter our backgrounds or responsibilities, we are one team.

Platform Science is looking for a skilled Specialist DevOps Engineer to join the Platform team, which is responsible for developing, maintaining, and supporting the company's Global Platform to keep it stable, secure, and compliant.

•  Completed Bachelor's degree in Computer Science, Software Engineering, or related fields.
•  Advanced English.
•  Live in Brazil.

• → Work on an Agile team to build the Internal Developer Platform that best supports our developers.
• → Support requests to the Platform team, helping developers throughout their development lifecycle and with their production workloads.
• → Collaborate with other teams to deliver cross-functional solutions.

•  Strong experience with Kubernetes (EKS, AKS) and its ecosystem, such as cert-manager, external-dns, API gateways, HPA, and Karpenter or Cluster Autoscaler.
•  Experience with at least one major cloud provider (AWS, Azure, or GCP) and its common resources for web applications and IoT.
•  Experience designing CI/CD pipelines, especially with Argo CD and GitHub Actions.
•  Experience with Infrastructure as Code (IaC), preferably Terraform.
•  Proficiency in at least one programming language for scripting.
•  Solid understanding of Linux distributions.
•  Experience with agentic workflows using Claude, Codex, Antigravity, or similar tools.

• Experience with a second major cloud provider.
• Experience with AWS Control Tower, Account Factory for Terraform (AFT), and Service Control Policies (SCPs).
• Experience with Keycloak.
• Experience with the LGTM stack or Datadog.
•  Experience deploying and scaling LLM infrastructure such as vLLM or LiteLLM.

Platform Science collects your personal information to support its business operations, including for human resources, employment, benefits administration, health and safety, and other business-related purposes as well as to be in legal compliance. You can review further details of such collection and use in our Privacy Policy (link for browser: https://www.platformscience.com/privacy-notice).

Please note: This document is a description of a potential position with our company. Nothing within this document may be construed as an offer for employment or a promise of benefit or remuneration. Further, any representation made within this document is subject to the laws and restrictions of the jurisdiction where employment may be deemed to occur. The parameters and availability of this position are subject to change and based solely within the discretion of the company. In addition, the duties, responsibilities, and scope of this position may not be fully represented in this description or may change as required by the Company.

Platform Science is an equal opportunity employer. All applicants will be considered for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.