Devops Engineer - Torizon Cloud - Toradex

Toradex is a global company strongly focused on engineering & technology. We’re powered by a diverse & uniquely gifted workforce. We pursue the best people to propel our innovative vision of embedded computing and IoT. If you’re interested in being a driving force at an agile technology company, engineering clever computing solutions & helping other companies bring their products to life, we should talk.

About the team

Torizon Cloud is a platform that delivers over-the-air software updates to embedded Linux devices in the field. Our users are companies running fleets of industrial and robotics hardware. They use our platform to publish updates on physical machines they can't easily reach so reliability is a key selling point of our product.

The team is small, distributed, and motivated! You'd be joining a group of engineers who own the platform end to end - the backend services and the infrastructure they run on.

We have big aspirations as a team and our product is scaling!

What you'll do

• Own and care for the Kubernetes deployments of our Torizon OTA services. We have various services (mostly scala services), Kafka/Red-Panda messaging system.
• Manage infrastructure as code with Terraform/OpenTofu.
• Build and maintain CI/CD pipelines, container builds, automated testing, and promotion across staging and production environments.
• Push our devops practice forward: declarative, reviewed, reproducible environments, and fewer things that depend on someone remembering a manual step.
• Improve observability and how we handle incidents: metrics, logs, alerting, and the follow-through after something breaks.
• Help us expand and evolve our testing frameworks and pipelines.
• Work with fellow team-mates to evolve deployability, database migrations, safe rollouts, and outage investigations.

What we're looking for

• Advanced English communication skills, written and spoken
• Available to work Hybrid from Toradex Office in Campinas/SP.
• Kubernetes in production. Not just familiarity with kubectl but someone who has run real workloads, managed resources, and debugged something misbehaving under load.
• Helm Management: Utilize Helm to automate and streamline the deployment of applications and services to Kubernetes clusters. Create, maintain, and manage Helm charts for production-ready deployments.
• Docker and container fundamentals , including building lean, reproducible images.
• Terraform or OpenTofu at a level where reviewing someone else's module feels routine.
• Kafka, Red-panda, or similar , this is the glue that holds our system together and is a key component to ensuring reliability.