Staff Engineer, GitGuardian
Endpoint Security
3 days a week in office
Code security platform for the DevOps generation
Be an early applicant
Code security platform for the DevOps generation
101-200 employees
Be an early applicant
3 days a week in office
101-200 employees
Company mission
To help organisations secure the modern way of building software and foster collaboration between developers, cloud operations and security teams.
Role
Who you are
- If you think you match at least 70% of these criteria, please apply!
- You have a proven track record of leading technical initiatives involving multiple teams within organizations of at least 100 people
- You are comfortable working cross-functionally and collaborating effectively with Engineering, Product, and Infrastructure teams
- You have hands-on experience mentoring engineers and helping teams grow their technical capabilities
- You thrive in fast-paced startup environments
- You are an expert in Python, with strong experience working with Django and large monolithic codebases
- You have significant experience with Rust
- You have experience working on embedded software / on-device applications (software installed and running on a machine, not web applications)
- You have strong knowledge of cloud platforms (AWS, Azure, or GCP) and containerization technologies such as Docker and Kubernetes
- You have worked in security-focused environments with strong compliance requirements
- You are familiar with standards such as SOC 1, SOC 2, and ISO certifications
- You are fluent in English in an international professional environment
- You have a strong interest in AI-related topics and an innovation-driven, pragmatic mindset
- You like to demo your features and interact with clients
What the job involves
- You would be joining the Endpoint team, which develops an agent running directly on developers' machines to detect secrets and sensitive configurations before they leak — and centralize this information for security teams
- The product is already live with over 100 daily active users and is entering its scale phase. It's the perfect time to join: the foundation is solid, and the upcoming architectural decisions are the ones that will determine how we move to the next order of magnitude
- Drive architectural decisions— You define how the agent and platform evolve to scale. Your vision shapes the team's technical choices and influences engineering as a whole
- Guide and grow engineers— As the team's technical reference, you mentor, challenge, take part in code reviews, and raise the collective bar over the long term
- Contribute directly to the code— This role isn't just oversight: you're in the code on the most complex and foundational topics
- Work closely with Product— You are a key counterpart for PMs to frame product ambitions, navigate technical trade-offs, and co-build the roadmap
- The technical challenges are up to the role:
- Across-platform agent(macOS / Linux / Windows), deployed directly in developers' environments
- A Rust-based scan engine, built for performance and low footprint
- Real-time data ingestion and structuringat scale
Application process
- 1. Video call with a Talent Acquisition team member
- To discover your professional project and evaluate if there could be a mutual match
- 2. Team interview / Interview with your future manager
- To know more about yourself and your achievements, and present to you the team
- 3. Technical interview
- To evaluate your skills for the position and project yourself into the role
- 4.1 Final interview with an Executive Manager
- To detail our company’s vision and ambitions for the next couple of years
- 4.2 References 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
- Backend: Python (Django) Go, Rust
- Frontend: JavaScript (React), TypeScript, React Query, Jest
- DB: PostgreSQL, Elasticsearch (+ Kibana), MongoDB
- Observability: Elastic Stack, Sentry, Grafana LGTM, OTEL
- Deployment: ArgoCD, GitlabCI, Terraform
- Runtime: Kubernetes (Karpenter, Istio)
- Cloud providers: AWS and OVH
- Message brokering: RabbitMQ, Redis
Our take
The twin uptakes of GitHub usage and cloud architectures have resulted in the propagation of digital authentication credentials in both public and private code repositories. Think APIs, cryptographic keys and login credentials.
GitGuardian has become the go-to for 100,000s of developers to identify these secrets in real time, securing enterprise software with bottom-up adoption.
The startup has also built from its secret detection expertise and extended its technology to encode a wide variety of vulnerabilities to compete with legacy code security platforms. In 2021, GitGuardian raised an impressive $44 million in order to accelerate this innovation.
So far, GitGuardian’s laser-sharp focus on secret detection has allowed it to carve out a lucrative niche, but the expansion of its technology will bring it into direct competition with well-established cyber security giants. The company is gathering momentum, however, and is likely to scale in line with its technology in the coming years.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
62% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Feb 2026
$50m
SERIES C
Dec 2021
$44m
SERIES B
Total funding: $107.2m
Company benefits
- 🌴 A remote-friendly environment up to 3 days / week
- 💸 An attractive package that includes stock-options
- 💻 The latest setup equipment including cool apps, tools and technologies
- 👊 Working to develop a meaningful product → we already helped more than 200k developers!
- 🍺 Lots of team-building activities
- 🚀 Many opportunities for career development in the long term
- 📈 A strong engineering culture
- 🐕 Pet-friendly offices → every Guardian gets to bring their dogs to the office and we love it!
- 👫 Lots of trust & autonomy on your perimeter with a very transparent internal communication
Company HQ
Mail, Paris, France
Leadership
Eric Fourrier
(Co-Founder & CEO)Data science and Machine learning software engineer. Worked for credit scoring startup, Lending Club, in Paris before co-founding data science products consultancy alongside their eventual GitGuardian co-founder.
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