> Markdown version of [/jobs/ext/4696377-configuration-engineer-python](https://www.wearedevelopers.com/jobs/ext/4696377-configuration-engineer-python). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Configuration Engineer - Python

- **Company:** Cover Genius
- **Location:** Amsterdam, Netherlands (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Configuration Management, Software Debugging, Django Web Framework, JSON, Python (Programming Language), CURL, Postman
- **Published:** November 13, 2026
- **Apply:** https://www.adzuna.nl/details/5963487472

## About the Role

* 2+ years in a technical role, platform engineering, or configuration role using Python.
 * Python fluency - can read, write, debug, and validate expressions and agent-generated output.
 * API proficiency (Postman, cURL, JSON interpretation)
 * Hands-on experience on testing methodologies and best practices
 * Ability to translate non-engineering stakeholder needs into engineering-ready specs.
 * Strong numerical and analytical skills (pricing requirements, actuarial inputs, financial structures).
 * Understanding of Django and Django REST framework is a huge bonus

## Description

Policy Configuration Engineers own the full lifecycle of AI-augmented policy delivery on Cover Genius's XCore platform. The PCA bridges business stakeholders and the Policy Agent - gathering requirements, writing Python expressions and directing the agent with structured inputs, validating its output, and owning the result end-to-end.

What will your day look like? You will...

 * Requirements & discovery. Engage stakeholders. Resolve ambiguity early. Document requirements that need no follow-up.
 * End-to-end build ownership. Understand the XCore policy administration system and its attached systems (XPSD, XReport, Checkmate, XLedger) well enough to complete policy builds end to end - from specification through configuration, pricing, testing, and financial validation.
 * Portfolio ownership. Manage concurrent policy builds across sprints. Keep the backlog clean. Give accurate delivery estimates.
 * Policy configuration. Translate requirements into Python expressions and structured inputs for the Policy Agent. Validate the agent's output as a fluent practitioner.
 * Testing. Build and run comprehensive test plans. Maintain automated test suites across multiple demographics and scenarios.
 * Post-launch ownership. Triage and resolve post-launch bugs and change requests.
 * Documentation. Keep product and configuration docs accurate across the full build lifecycle.

Using AI in this role

AI is central to how this role delivers policy configuration.

 * Direct the Policy Agent with clear, structured requirements
 * Read and debug the agent's Python output as a fluent practitioner, not just a reviewer.
 * Validate agent output against pricing sheets, underwriting rules, and specifications before it ships