Middle Search Engineer (Rust) (#5069)

N-iX is looking for Middle Rust engineer to join the fast-growing team one our projects. 

Our client is a leading European company delivering high-performance platforms for meteorological and geospatial data. Our products handle complex datasets with distributed, scalable systems while ensuring reliability, reproducibility, and adherence to industry standards. 

As a Software Developer for the D2E Platform team, you will focus on building high-performance backend systems and orchestrating distributed data workflows. You will work with meteorological formats (GRIB, NETCDF, GEOTIFF, Zarr), geospatial transformations, and scalable infrastructure, contributing directly to the foundation of our data ecosystem.

Responsibilities:

• Develop high-performance async backend code in Rust (Tokio), managing concurrency and binary data structures.
• Optimize distributed Python workflows with Dask and orchestrate pipelines using Prefect.
• Build and maintain RESTful APIs for high-concurrency, non-blocking access to meteorological and geospatial data.
• Standardize Zarr outputs, ensuring metadata, CRS, and affine transforms are correct for downstream systems.
• Integrate multiple data sources, including radar, nowcasting, ECMWF, and GCP grids.
• Deploy and manage distributed systems on Kubernetes (K8s) and ECS, optimizing container performance and resource allocation.
• Design and extend the Dask “formula” framework for various use cases, collaborating on front-end management interfaces (Node.js).
• Implement event-driven API updates using Prefect + NATS for new data arrivals.
• Ensure high code quality through testing, code reviews, and observability practices.

Requirements:

• Strong Rust expertise - at least 3 years of experience: async programming (Tokio), concurrency, binary data structures.
• Advanced Python experience with distributed processing (Dask, Xarray, Numpy).
• Proven experience building scalable, distributed systems and RESTful APIs.
• Familiarity with meteorological and geospatial data formats (GRIB, NETCDF, GEOTIFF, Zarr).
• Understanding of geospatial projections, CRS, and affine transformations.
• Strong mathematical and analytical thinking for array and matrix manipulations.
• Experience with containerized infrastructure (K8s, ECS) and CI/CD workflows.
• English level at least Upper-Intermediate. 
• Degree in Computer Science, Software Engineering, Mathematics, or related field.

Nice-to-have:

• Experience with Golang or Node.js backend development.
• Familiarity with Prefect workflow orchestration.
• Prior experience with meteorological or geospatial datasets at scale.
• Knowledge of container performance optimization, monitoring, and observability.

Technology Stack:

• Backend: Rust (Tokio), Golang, Node.js
• Python & Data: Python (Dask, Xarray, Numpy, Prefect)
• Infrastructure: Kubernetes (K8s), ECS, CI/CD pipelines
• APIs & Integration: REST APIs, event-driven architectures (Prefect + NATS)
• Data Formats: GRIB, NETCDF, GEOTIFF, Zarr

Frontend/Management Interfaces (collaboration): Node.js