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Salary
≈ $88k – $202k per year (Estimated)
Location
Remote (likely Europe)
Seniority
Senior

Confirmed on the employer's own hiring board on Oct 7, 2026. First seen by Alion on Sep 8, 2026. Svitla Systems scores A 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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