Nomagic

DevOps Engineer

• Own and scale the infrastructure behind our Computer Vision ML Cloud Service.
• Work on cloud-native ML infrastructure at scale.
• Design multi-tenant infrastructure that scales.
• Build standardized, repeatable deployment patterns across multiple customer environments.
• Optimize data pipelines for Computer Vision model training and deployment.
• Build monitoring and alerting systems for ML service health and performance.
• Implement automated CI/CD pipelines for ML model deployment with safe rollback strategies.
• Deploy and manage applications on Kubernetes clusters using Helm charts and ArgoCD.
• Manage cloud resources consistently using Infrastructure as Code with Terraform.
• Ensure high availability, security, and cost optimization of cloud services.
• Occasionally handle hardware integration tasks (nice to have).

Senior DevOps Engineer

Customer Success Manager

• Do you know warehouse managers struggling to staff their shifts, facing high turnover, and training hurdles?
• Ever met one who would love to operate the warehouse night and week-ends?
• Our robots are designed to help with this, with a focus on pick and place tasks, handling hundreds of thousands of different products every day.
• We sell our solutions as a Service and we have a track record of happy customers with robots working through peak periods.
• We currently specialize in providing solutions for AutoStore and Pocket Sorter but can adapt solutions to other systems.
• Do you want to be a key part of the journey to bring AI robotics at scale in warehouses? Can you take responsibility for customer satisfaction and growth?

Machine Learning Engineer

• Do you get excited about the latest developments in ML & robot control?
• Are you ready to learn the new, exciting world of smart robots and physical AI?
• Do you want to shape the future of robotics?
• Do you feel tired of working in a big company?
• Would you like to cooperate with top professionals in our industry?
• Lead a team of amazing engineers and shape the company culture
• Develop the latest ML methods for end-to-end robot control
• Be the first in the world to deploy these models into a production environment, at a large scale
• Build self-organized, well-functioning teams, focused on making our robots intelligent and our customers happy
• Foster a culture of trust and open feedback, disregard for the impossible!

Machine Learning Manager – Tech Lead, VLAs

Business Development Rep

• Prospect and qualify leads through outbound calls, emails, and LinkedIn outreach.
• Research target accounts to understand their business needs and challenges.
• Book discovery meetings and demos for the sales team.
• Nurture relationships with prospects through consistent follow-up.
• Collaborate with marketing on campaigns and messaging that resonate with logistics operators.
• Track and report activities in CRM, bringing insights on what’s working and what’s not.
• Be the voice of the market: share customer pain points and feedback with the broader team.
• Attend trade events to boost our brand awareness, develop industry relationships, and boost our prospect lists.

Senior Business Development Representative

People Operations

• Own and improve people processes so they are clear, practical, and easy to use every day
• Work closely with team leads and engineers to build and roll out people initiatives, especially around leadership, expectations, and company culture
• Run employee surveys and turn feedback into real improvements for teams
• Support performance management by promoting regular feedback and helping managers build strong, high-performing teams
• Keep a healthy balance between people initiatives, manager ownership, and HR operations, with a focus on simplicity and low bureaucracy
• Look into country-specific labour law topics to support international work and mobility
• Own people programs end-to-end and advise managers on complex people topics
• Take ownership in unclear situations and mentor less experienced team members
• Use data and insights to support decisions and influence stakeholders
• Support onboarding and off-boarding to ensure smooth employee experiences and continuous process improvements

Senior DevOps Engineer

Customer Success Manager

Machine Learning Manager – Tech Lead, VLAs

Senior Business Development Representative

Senior People Partner