Salary
≈ $88k – $205k per year (Estimated)
Location
Remote (likely Poland)also open in Austria, Belgium, Bulgaria, Croatia, Czech Republic, Denmark +24
Seniority
Senior
Confirmed on the employer's own hiring board on Oct 2, 2026. First seen by Alion on Sep 8, 2026. Svitla Systems scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Svitla Systems is a global digital solutions and custom software engineering company headquartered in California, with delivery centers across North America, Latin America, Europe, and Asia. Founded in 2003, the company offers end-to-end IT services, including cloud architecture, AI/machine learning integration, data engineering, DevOps, and mobile and web application development.
Svitla Systems Inc. is looking for a Senior Python Engineer with MLOps/GCP for a full-time position (40 hours per week) in Europe. Our client is a broker platform that offers brokers real-time risk.
In this role, you will help build a new document intelligence capability, productionizing text extraction across the platform and developing tools and frameworks that make LLM capabilities accessible across teams. This is a service/API-level role focused on backend engineering and platform capabilities. No UI development experience is required.
Requirements
- Solid professional experience with Python.
- Hands-on experience with MLOps.
- Professional experience with GCP.
- Experience building high-quality platform capabilities and APIs.
- Experience working with infrastructure as code (IaC).
- Experience working as part of a cross-functional team, contributing throughout the project lifecycle.
- Strong problem-solving skills and a proactive approach to learning and continuous improvement.
- Willingness to take ownership and make informed technical decisions.
Responsibilities
- Design, build, and productionize scalable backend services and APIs for document intelligence and text extraction.
- Contribute to the development of LLM-powered capabilities and solutions that support business workflows.
- Work across the full project lifecycle, from conception to delivery, as part of a cross-functional team.
- Apply infrastructure-as-code (IaC) practices for deployment and environment management on GCP.
- Build tools and frameworks that make LLM capabilities accessible and reusable across teams.
- Contribute to the continuous improvement of engineering practices, system performance, scalability, and reliability.
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