Do you get excited when you see physical hardware not only virtual resources in the cloud?
Are you ready to learn the new exciting world of smart robots?Do you feel tired of working in a big company?Would you like to cooperate with top professionals in our industry?If your answers are mostly
yes
, then you should keep reading. At
Nomagic
, we’re on a mission to teach robots the real world. We’re now looking for a Senior DevOps Engineer, who’s ready to deep dive into the hard problems of on-premise and cloud environments.
Offer essentials:
- Work with on-premise hardware and cloud every day
- Salary: 25 000 - 32 000 gross UoP per month
- Equity for every employee
- Relocation package
- Truly flexible working hours
- No late evening calls - the entire team is based in Europe :)
- English-speaking environment
- Partly remote work is possible!
Here is why we love this job ourselves, and hope you will enjoy it too:
- AI in industrial applications is still pretty niche - we need to get creative to solve our problems rather than copy well known solutions
- We’re still pretty small, so everyone has a direct impact on the final result
- Nothing is written in stone, we can easily change the technology we use (if the requirements change)
- The CEO and part of the management are experienced infrastructure engineers who created the foundations of Google Cloud Platform
- We combine world-class research with top notch engineering and apply it to solve real problems
Some of the problems you may try to solve with us:
- Managing edge infrastructure at scale - ensuring availability, performance and security
- Evaluating new hardware to identify the most efficient solutions for our edge infrastructure
- Optimizing data collection from the robots (images, videos, logs, metrics)
- Improving container deployments to our robotic stations at scale
- Scaling our simulation testing setup
What skills we’d like you to have:
- 5+ years of experience as a DevOps, Infrastructure Engineer, SRE or in a similar role
- Experience with hardware (servers and network appliances)
- Excellent problem solving skills
- Good system design skills
- Expert knowledge of Linux
- Decent Python programming skills
- Deep knowledge about Docker and Kubernetes
- Good understanding of networking and security\
- Experience with common DevOps tools like Terraform, Ansible, Prometheus, Jenkins or similar
- Experience with one of the major cloud providers (preferably Google Cloud Platform)
- Experience with industrial systems, IoT or AI Inference at edge is a plus
- Fluent communication in English
What should you expect once you apply?
- 30 minutes call with a Recruiter
- 60 minutes Technical prescreen
- 45 minutes Hiring Manager interview
- Onsites - half a day of interviews & discussions at the office
- We make the final decision after max. 2-3 days after onsite interview
- Important: expect detailed feedback regardless of our decision.
Apply for this job
