Backend & Infrastructure Developer (Python)

Job Description

Backend & Infrastructure Developer (Python) on www.freelancermap.com Find projects Find freelancers Solutions Insights Log in Sign up Change availability Save Backend & Infrastructure Developer (Python) eye4improve Contact person : Peter Bergmann aarhus , Denmark 40% remote Freelance asap Duration 5 months 100 % workload 32,000.00 € Budget Apply now Save to watchlist Print Report Report project After submitting, you will receive a confirmation email. We will review your information and take action if necessary. Reason for reporting this project: * The project is outdated The project description is unprofessional / This is not a valid project Incorrect contract type The hourly rate is unrealistic Report project Report project Manufacturing Application Programming Interfaces (APIs) Data Infrastructure Database Development IBM InfoSphere DataStage Python (Programming Language) PostgreSQL SQLAlchemy Database Engines Snowflake Backend Backend Programming Kubernetes Infrastructure Automation Frameworks Api Design Terraform Data Pipeline Databricks Description A backend and infrastructure developer to support two infrastructure changes: 1. Migrating the data layer from blob storage to a (semi-)structured database. 2. Moving model inference off Databricks onto our Kubernetes GPU cluster. Must be expert in: • Deployed, maintainable, production-grade Python • Kubernetes (deployment, scaling, resource/GPU scheduling) • SQLAlchemy • Relational / warehouse databases - PostgreSQL and Snowflake (able to choose well between them for a given workload) • REST APIs with FastAPI Production Python & Backend Engineering • Deep Python expertise with a track record of deployed, maintainable, production-grade services • Strong REST/FastAPI experience - routing, dependency injection, API design • Works inside an existing team and hands off cleanly to the maintainers who follow Data Layer & Databases • Expert with SQLAlchemy and relational modeling • Hands-on with both PostgreSQL and Snowflake, and able to justify choosing one over the other for a given access pattern (transactional vs. analytical, structured vs. semistructured) • Experience migrating data from unstructured/blob storage into a structured store without disrupting a live pipeline Kubernetes & Compute • Expert in Kubernetes - deployments, scaling, and GPU workload scheduling • Able to bring compute-heavy (inference) workloads onto a cluster and tune them for throughput and cost • Finds resource and speed improvements across a data + compute pipeline Application form For freelancers Find projects Benefits for freelancers Prices and features Professional liability insurance For companies Find freelancers Benefits for companies Prices and features Help and support FAQ Contact Blog Freelancer study Company directory About freelancermap About us Testimonials © 2005 ‐ 2026 freelancermap GmbH, Nürnberg Data privacy Cookie settings Legal information Term and Conditions