NEARMAP POLAND SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
13. 2. 2026
Informacje o stanowisku
technologies-expected :
AWS
Docker
Terraform
Kubernetes
Python
about-project :
Join a team of ML Engineers building the MLOps backbone for Nearmaps global operations. Youll architect and scale systems that process petabytes of aerial imagery, orchestrate thousands of Kubernetes clusters, and power real-time APIs that help insurance companies respond to disasters and government agencies make critical decisions. This isnt theory - your code will handle 10,000+ compute nodes and directly impact how the world responds to hurricanes, floods, and urban planning challenges.
responsibilities :
Designing and deploying K8s clusters on AWS
Auto-scaling: from 10 to 1000 nodes depending on needs
This is crucial: 80% of the work is K8s - at this scale, theres no other way
requirements-expected :
Proficiency in Python and Linux, with strong knowledge of designing scalable, distributed systems.
Hands-on experience in designing, implementing, and maintaining MLOps workflows, including CI/CD pipelines, monitoring, and production optimization.
Strong background in cloud computing (AWS/GCP), infrastructure as code (Terraform), containerization, and orchestration (Kubernetes).
Solid understanding of modern software development practices such as test-driven development (TDD), systems thinking, and CI/CD automation.
Experience deploying and managing observability tools such as Prometheus, Grafana, and OpenTelemetry to ensure high reliability and performance in production ML systems.
Expertise in scaling and optimizing distributed systems for large-scale, multi-node computations.
offered :
Work with cutting-edge technology - high-resolution aerial imagery and city-scale 3D content
Exposure to AI and advanced AI datasets
Experience with geospatial technology and integrated spatial tools
