Backend Engineer - Extensions

Jobgether • France

Relocation

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AI Summary

Design and scale backend systems that power AI-driven capabilities for enterprise applications. Own end-to-end reliability, scalability, and performance of backend extension capabilities. Requires 5+ years of Python backend engineering experience and deep understanding of distributed systems.

Key Highlights

Build and scale backend systems for AI-driven enterprise applications

Own end-to-end reliability, scalability, and performance

Collaborate with data scientists and cross-functional stakeholders

5+ years of professional Python backend engineering experience

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Key Responsibilities

Own the end-to-end reliability, scalability, and performance of backend extension capabilities, ensuring they meet the demands of enterprise-level deployments

Design, develop, and maintain distributed workflows that are efficient, observable, reproducible, and resilient in production environments

Monitor, identify, and resolve system bottlenecks while continuously improving latency, throughput, and operational efficiency

Develop clean, maintainable, and thoroughly tested Python code while promoting high engineering standards and best practices

Create and maintain technical documentation, helping establish scalable development processes and knowledge-sharing practices across the team

Technical Skills Required

Python Distributed Systems Workflow Orchestration

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Benefits & Perks

Competitive compensation package including salary and equity opportunities

Comprehensive healthcare coverage for employees and eligible dependents

Inclusive paid parental leave supporting all paths to parenthood

Relocation assistance for employees joining from other locations when applicable

Flexible and collaborative work environment focused on ownership, innovation, and continuous learning

Opportunity to work on cutting-edge AI technologies and contribute to impactful enterprise-scale solutions

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Nice to Have

Experience with workflow orchestration tools such as Temporal, Dramatiq, Celery, or similar platforms

Familiarity with machine learning infrastructure, data science workflows, or high-throughput data processing systems

Exposure to Kubernetes, containerized environments, and Python performance optimization techniques

Job Description

As a Backend Engineer - Extensions, you will play a key role in building and scaling backend systems that power advanced AI-driven capabilities for enterprise applications. Working at the intersection of engineering and data science, you will design reliable, high-performance workflows that support complex prediction use cases across multiple industries. This position offers the opportunity to tackle challenging distributed systems problems while contributing directly to production-grade solutions used by large organizations. You will collaborate closely with data scientists and research teams to transform innovative ideas into scalable backend services. The role combines deep technical ownership, architectural influence, and hands-on development in a fast-paced, impact-driven environment. If you enjoy solving complex engineering challenges and building systems that operate at scale, this is an exciting opportunity to make a meaningful contribution.

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