About Sternum
Sternum is on a mission to make every “limited” device autonomous and smart. We are building the infrastructure of every smart device around us, from medical devices to roads to railway systems. We do that by breaking the boundaries of possibility within the realm of embedded/IoT edge devices and bringing self-protection and instrumentation-based data visibility and analytics to any device, from any sector, at any stage of the product life cycle.
Building a product that enterprises and security leaders NEED and developers LOVE is what makes working at Sternum a unique mission that is shaping our future connected world.
We are backed by the world’s most valued and innovative investors, known for their world-shaping investments, a team of truly passionate, diversified, and talented people, and a patented, ground-breaking technology that is already deployed on mission critical devices.
If you love technology, are not afraid of breaking boundaries and building exceptional products that change industries, want to make a true impact and love to be a part of an extraordinary team – come join us!
Responsibilities:
- Work closely with developers in building automation and infrastructure tools
- Lead and take part in a major tech stack change and choose new tools to implement.
- Work with EKS and other AWS services.
- Manage, monitor, scale, and troubleshoot a distributed highly scalable, highly available, customer-facing software stack
Requirements:
- 4+ years of experience as a DevOps Engineer in a production environment.
- Experience working with AWS.
- Experience with containerized environments and microservices based on Docker, Kubernetes.
- Experience with logging and monitoring systems, OpenTelemtry, Prometheus, Grafana.
- 3+ years of Experience working with at least one scripting/programming language (preferably Bash/python/javascript).
- IaaC, e.g. Terraform, CloudFormation.
- Experience working with Kubernetes Ecosystem - ArgoCD, Helm, CRDs, Operators and opensource tools.
- Experience Building CI/CD pipelines using commonly used tools such as Gitlab, Github, Jenkins, Argo etc.