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.
