We are looking for a DevOps Engineer to join our US and Norway-based Engineering Team to work with us in developing our industry-leading machine learning software products to new and even more exciting levels.

Joining us you will:

• Shape the future foundation of our industrial IoT SaaS products together with software developers.

• Develop a robust and secure platform for our products.

• Shorten the gap between the infrastructure and the product.

• Fully automate software deployment.

Key focus of the role:

• Architect and develop the infrastructure with a focus on containerization, orchestration, security, scalability, availability, and automation.

• Do research and evaluate future technologies to improve the development lifecycle and platform stability.

• Bring improvements and optimization, site reliability, and maintenance to our environments.

• Drive continuous integration and continuous deployment (CI/CD) of best practices, including areas like IaC (infrastructure-as-code).

• Test and monitor applications and services to ensure proper operation, SLAs and performance.

• Develop and drive the tooling for logging, alerting, and continuous monitoring.

• Create and manage tools to administer the SaaS software.

Our Tech Stack

• Kubernetes and Docker

• Open Source frameworks such as ArgoCD, Kustomise, Prometheus, Loki.js, Grafana

• GitHub and GitHub Actions

• High Volume / High Velocity TimeSeries data

• PostgreSQL and Graph databases

• Microsoft Azure, including serverless paradigms

We expect that you have:

• 5+ years of DevOps experience

• Programming skills

• Networking background with a deep understanding of NATs, subnetting, domain setup, and the OSI model

• Docker and container orchestration frameworks like Kubernetes.

• Microsoft Azure or AWS experience including deploying highly available virtual environments, automating the configuration of a cloud environment, and expert knowledge of cloud storage and computing resources

• CI/CD (GitHub Actions or Travis or Jenkins, etc.)

• Linux background