> Markdown version of [/jobs/ext/4131075-senior-software-engineer-endpoint](https://www.wearedevelopers.com/jobs/ext/4131075-senior-software-engineer-endpoint). 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). --- # Senior Software Engineer Endpoint - **Company:** GitGuardian - **Location:** Paris, France (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Windows, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Apple Mac Systems, Software Applications, Linux, Django Web Framework, Python (Programming Language), PostgreSQL, Open Source Technology, RabbitMQ, Redis, Software Engineering, TypeScript, Web Applications, Web Application Frameworks, Web Platforms, ReactJS, Flask (Web Framework), Fastapi, Kubernetes, Front End Software Development, Vertica, Virtual Agents, Terraform, Docker - **Published:** October 21, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0cfa8af8cff1b4bc ## About the Role * You have 3+ years of software engineering experience, ideally 5+. * You write production-grade Rust: ownership model, async, idiomatic error handling, and you have shipped multi-platform binaries. * You have delivered software installed on end-user machines (agent, desktop app, CLI distributed at scale): you know how to handle updates, OS permissions on macOS, Linux and Windows, and resource footprint. * You think product and business impact first: you prioritize what moves the needle for customers. * You are a self-starter: you take ownership of topics end to end and identify problems before being asked. * You are pragmatic and hands-on: you ship, then iterate. * You communicate clearly in English, written and oral, and share knowledge with your team. * You use AI tools in your daily development workflow, or you are eager to. The following skills would strengthen your application but aren't required: * You have worked on EDR, endpoint security or security agents. * You have experience with Python, including web frameworks (Django, FastAPI, Flask). * You have built production web applications and APIs. * You have designed large-scale data models and storage for high-volume ingestion. * You speak French. ## Description Most recent supply-chain attacks start the same way: an attacker steals secrets from a developer's laptop. A developer machine can no longer be treated as a safe place, and security teams have almost no visibility on it. The Endpoint team is building GitGuardian's answer to that problem: a new product that scans developer machines for secrets and AI agent configurations, then reports everything to a central platform where security teams track their posture over time and give developers the tools to fix issues themselves. The first version works, runs daily on developer machines and is being tested by our first customers. Feedback is strong, and the next challenge is to turn it into a product we deploy at scale. It is also the first time GitGuardian ships software that runs directly on customer endpoints, which is why we are looking for engineers who know this environment. You will join a team of 4 senior engineers with complementary profiles (Rust, web), managed by an Engineering Manager. The team is growing fast: 4 more engineers will join in the coming months. Your main mission will be to: * Build the endpoint agent: a lightweight program running continuously on macOS, Linux and Windows, detecting secrets and risky configurations and reporting them when needed. * Own the delivery constraints of software installed on end-user machines: updates, OS permissions, CPU and memory footprint, and the security risks specific to this environment. * Contribute to ggshield, our open-source CLI, which is the foundation of the endpoint product : https://github.com/GitGuardian/ggshield * Design how we ingest, structure and expose the data collected from thousands of machines, together with the engineers working on the web platform. * Move fast to reach commercial success, while making architecture choices that will not block the product later. * Use AI in your own workflow to ship faster and review better. Technical environment * Backend: Python + Django, RabbitMQ, Redis * DB: PostgreSQL, ClickHouse * Frontend: React / Typescript * Deployment: Kubernetes, Docker, Terraform, AWS