Senior Python Engineer (REMOTE from Czechia)
Looking to make an impact and grow within a leading organization? Do you want your input to be heard and taken into consideration? Apply and create a digital future with us!
80 000 - 120 000 USD annually on B2B contract
Full-time permanent contract signed directly with our client
100% Remotely, you need to be located near Prague
Unlimited paid time off
The international insurance company that protects farmers and people from catastrophic
As a Software Engineer you will be in direct contact with the science team and your job will start where the science ends. The day-to-day tasks will require you to take a prototype of a mathematical/AI/etc. model and turn it into a production component. Whether it is a standalone microservice or a part of a larger ETL data pipeline, you will be responsible for the system to be running smoothly in the Kubernetes cluster. Because of the operational aspect, some former experience with Kubernetes is required. In this role, you will learn the science behind the models and engineering which goes into analysis of satellite data.
5+ years of experience as Python engineer
Experience working with pytest, and the rest of the ecosystem
Fluent in gRPC/REST microservices design/operations
Experience with AWS, Kubernetes, Docker, monitoring (Grafana/Prometheus), Opentelemetry
Strong communication skills (written and oral) in English
Nice to have
Apache Airflow, Kubeflow for running AI models
Other programming languages (GO, C/C++)
Experience with remote sensing data (multi/hyper-spectral, radar/SAR, etc.) or Big Data
A curious generalist when it comes to software engineering
Take over the code from the science team and turn it into production quality service.
Function as a “glue” engineer between the science team and SRE/DevOps
Operate microservices, data pipelines and ensure operational reliability
Optimize model execution to improve efficiency
Instrument the microservices/components with telemetry data and create alerts
Create monitoring dashboards in Grafana to understand execution data pipeline and KPIs
Why work with us?
In case needed, well-located office space in Prague
Provided money to create home-office
Health insurance benefit
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