Senior DevOps Engineer (202626)

Do you get excited about scaling machine learning systems in production? Are you ready to work on cutting-edge Computer Vision technology? 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 to own and scale the infrastructure behind our Computer Vision ML Cloud Service.  

Offer essentials:

Work on cloud-native ML infrastructure at scale

Salary: 26,000 - 30,000 gross UoP per month

Equity for every employee

Relocation package

No late evening calls - the entire eng team is based in Europe :)

English-speaking environment

We work mainly remotely, but you have to reckon with occasional office visits if the task requires it

 

Here is why we love this job ourselves, and hope you will enjoy it too:

We get to be creative

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:

Scaling infrastructure to hundreds of B2B customers

Building standardized, repeatable deployment patterns across multiple customer environments

Optimizing data pipelines for Computer Vision model training and deployment

Building robust monitoring and alerting systems for ML service health and performance across all environments

Automated CI/CD pipelines for ML model deployment with safe rollback strategies

Deploying and managing applications on Kubernetes clusters using Helm charts and ArgoCD for GitOps workflows

Infrastructure as Code using Terraform to provision and manage cloud resources consistently

Implementing comprehensive observability with Prometheus and Grafana across multiple tenants

Ensuring high availability, security, and cost optimization of cloud services

Occasional hardware integration tasks (nice to have, not primary focus)

What skills we'd like you to have:

3+ years of experience as a DevOps or Infrastructure Engineer or in a similar role

2+ years of experience in software development

Strong Kubernetes experience - managing production clusters, helm charts, and GitOps (Like ArgoCD)

Infrastructure as Code expertise with Terraform

Monitoring and alerting - hands-on experience with Prometheus, Grafana, and building effective alerting strategies

Deep knowledge about Docker and container orchestration

Experience with CI/CD pipelines and automated deployments

Good understanding of networking and security in cloud environments

Strong proficiency in Python

Experience with one of the major cloud providers (preferably Google Cloud Platform)

Experience designing multi-tenant infrastructure is a big plus

Experience with ML infrastructure or data-intensive applications is a plus

Hardware experience (servers, edge devices) is nice to have but not required

Fluent communication in English

What should you expect once you apply?

30 minutes call with a Recruiter

45 minutes Hiring Manager interview

60 minutes Technical/Coding Interview

Onsites - half a day of interviews & discussions at the office

Important: Feedback after completing the recruitment process.

See a short sneak peek of our product here:   https://vimeo.com/manage/videos/1051464045 https://vimeo.com/manage/videos/1051465112