Software Engineer (AI Productivity)

You can start thinking about two contacts who can attest to your previous or current professional experiences. These contacts should be as recent as possible, and we will call them at the end of the process.

About GitGuardian

GitGuardian is a global post-Series B cybersecurity scale-up, with team members in France, Europe and in the USA.

Among our early investors who saw our market value proposition, are the co-founder of GitHub, Scott Chacon, along with Solomon Hykes, Docker's co-founder. American and European top-tier VC firms have also invested in GitGuardian.

GitGuardian leads the way in Non-Human Identity security, offering end-to-end solutions from secrets detection in code, productivity tools and environments to strong remediation, observability and proactive prevention of leaks. Our solutions are already used by more than 600K developers worldwide!

About Your Team And Mission

What if your next job wasn't just about coding, but about orchestrating AI to code alongside you?

At GitGuardian, we're not watching the AI revolution from the sidelines—we're integrating it deeply into both our products and our internal processes. We're looking for a Senior engineer ready to tackle a new frontier: leading our AI productivity efforts as this field rapidly evolves.

You will be joining a team of 2 experienced engineers in Developer Efficiency, and working closely with our 40 engineers.

As an AI Productivity Engineer, you'll be responsible for researching, experimenting with, and integrating AI tools that improve developers' daily work. Your goal is to boost tech team productivity without sacrificing code quality or maintainability. You'll also be a key driver of change management around these tools.

Your Main Responsibilities Will Be

Increase AI Adoption

• Test and benchmark AI code generation tools (Claude, Cursor, GitHub Copilot, Aider, etc.)
• Test and industrialize AI practices, by building POCs, scripts, and internal integrations
• Train developers and document best practices for AI-assisted development
• Measure impact on delivery timelines, deployment frequency, and code quality
• Drive change management and evangelize AI adoption across engineering teams

Enhance Development Tooling

• Propose concrete integrations into our stack (Python, Rust, Typescript) and CI/CD pipeline
• Act as a force multiplier for engineering teams by developing and championing AI workflows that accelerate roadmap feature delivery, with your own practice serving as validation
• Optimize development workflows with AI-assisted tools
• Build and maintain internal productivity tools

Enhance CI/CD Processes

• Audit the complete CI/CD chain: friction points, token costs, baseline DORA metrics
• Integrate AI tooling into the pipeline (automated tests, changelog generation, code review assistance)
• Streamline build processes and reduce lead time from code to production
• Monitor and optimize AI budget: track costs/tokens and implement quota policies

About You

We are looking for highly technical engineers, able to propose innovative solutions to be efficient in tests, whether it’s about maintenance, speed, coverage, or stability.

If you think you match at least 70% of these criteria, please apply!

• Demonstrated a product-oriented mindset with deep empathy for engineer workflows and needs
• Extensive development experience: 5+ years in web development (Python)
• Strong DevOps culture: Understanding of CI/CD, infrastructure, and deployment practices
• AI/LLM experience: Hands-on with AI tools or LLM APIs (OpenAI, Claude, etc.)
• Structured mindset: Autonomous, capable of documenting, simplifying, and evangelizing
• Deep curiosity: Able to dive deep into technical subjects
• Change management: Experience with internal training or driving adoption of new practices
• Fluency in English

The following skills would strengthen your application but aren't required:

• Proven AI tooling experience: At least one experience implementing AI tools in a team of 5+ developers, with measurable impact
• Experience with monolithic architectures
• Familiarity with infrastructure as code
• Contributions to open-source projects
• Background in platform engineering
• Fluency in French

The interview process

At GitGuardian, we are committed to building a diverse, equitable and inclusive workforce.

We will ask for your gender identity on the application page to help us understand the diversity of our applicant pool and to track our progress in attracting and hiring a diverse workforce. The information is optional and will not be disclosed to the hiring manager or the interview team and will not be considered in the hiring process. We appreciate your willingness to share this with us so that we can continue to improve our diversity, equity and inclusion efforts.

• Interview with Eric, your future manager
• Technical interview with the team
• Live exercises, to evaluate your skills for the position and project yourself into the role
• 3.1 Final interview with our CTO or our CEO: To explain to you our company’s vision and ambitions to the next couple of years, and make sure you are up for the position
• 3.2 Reference check: You can start thinking about two contacts who can attest to your previous or current professional experiences. These contacts should be as recent as possible, and we will call them at the end of the process.

Benefits

• Package that includes BSPCE
• Lunch voucher (Swile, 9€ at 50%)
• Sponsored Wellpass (gymlib)
• Non-charged health insurance for children (Sidecare / Generali)
• Up to €300 to improve your home office set-up
• Yearly holiday allowance