Context

• Location : Paris (75002), 2 days remote/week
• Company :  Escape  – Leading AI Cybersecurity Startup
• Cofounders : CEO ( Tristan Kalos ) and CTO ( Antoine Carossio )
• Engineering Team :  13  Engineers,  4  Technical Leads,  1  Product Owner
• You will lead a tight group of strong engineers (mid/junior) and help them level up fas

What you will do

This role combines engineering management with deep technical leadership . You will be accountable for both:

• Raising the bar of the team (mentorship, standards, execution)
• Designing and scaling the core backend systems that run scanners reliably and efficiently

Key Responsibilities:

• Team leadership & mentorship: Lead and mentor a small backend team (mid/junior), raise the bar on delivery, code quality, reviews, and engineering standards while staying hands-on on the hardest parts.
• Architecture & scalability: Architect, build, and scale the scanner execution platform/scheduling, isolation, resource governance, queueing/backpressure, and performance/cost predictability for high-throughput workloads (crawling, web automation, file/repo/API analysis).
• Production ownership: Own outcomes end-to-end in production: reliability, observability, incident response/postmortems, performance tuning, and systematic reduction of flakiness in long-running scans.
• Research-to-production: Partner with Security Research to turn detection logic into robust, testable, maintainable components with clear interfaces, versioning, and safe rollout strategies.

Tech Stack

• Languages: Python (primary), Go (for selected performance and network-intensive components)
• Execution Model: Large-scale, containerized workloads running on Kubernetes (EKS), including long-running and resource-intensive scans
• Orchestration & Scaling: Kubernetes Jobs with queue-driven autoscaling
• Web Automation: Playwright with headless Chromium
• Data & Storage: PostgreSQL, object storage (S3-compatible), Redis (limited use)
• Messaging: Real-time messaging and event streaming using Kafka
• Observability: Metrics, logs, and tracing via OpenTelemetry and Grafana Cloud
• CI/CD & Infra: GitLab CI, Terraform, continuous delivery

Perks

• 💸 Significant equity (BSPCE) , making you a true stakeholder in our success.
• ❤️‍🩹 Top-tier health insurance with  Alan
• 🍕  Meal vouchers  with a  Swile
• 💪   Sport   subscription  with EGYM Wellpass (ex Gymlib)
• 📚 A place to learn and grow : Access to books and online courses to help you excel in your role
• 💻 Top-tier equipment to do your best work
• 🎁 Free time to work on cool Open Source Projects.
• 🌎 Opportunities to present research and engineering work at international conferences like RSAC , BSides , BlackHat , DEFCON , APIDays (New York, Las Vegas, San Francisco, London, Paris, Berlin, Barcelona)
• 4+ years of experience: Proven experience as a Software Engineer, with strong fundamentals in software engineering and a track record of delivering and operating production systems.
• Python Expertise: Proficiency in Python, with experience building reliable, maintainable services and execution engines used in production.
• Workload Processing: Hands-on experience designing and running non-trivial workloads such as web scanning, crawling, file processing, or background job pipelines.
• Systems Ownership: A demonstrated ability to take responsibility for critical systems, making pragmatic trade-offs to ensure reliability, performance, and long-term maintainability.
• Scalability Exposure: Prior exposure to systems operating at scale, with an understanding of performance constraints, resource management, and operational concerns.
• Research-to-Production Mindset: Experience collaborating with domain experts (e.g. security researchers, data scientists, or researchers) to turn algorithms or detection logic into robust production software.
• Browser Automation (Nice to Have): Familiarity with browser-based tooling such as Playwright or similar frameworks used for automated analysis.
• Collaborative Spirit: Ability to work effectively within a team, communicate clearly, and contribute positively to technical discussions and design decisions.
• Autonomy & Rigor: Comfortable working with a high degree of autonomy while maintaining a high bar for code quality, testing, and documentation.
• Startup Enthusiast: Motivated by joining a fast-growing deep tech startup, eager to have a direct impact on a core product, and interested in shaping the future of AI-driven cybersecurity.

We respect your time and will make it quick and efficient.  The entire process will be completed within   1 week .

🤓 1 meeting with the  HR representative  - 30 minutes

💻 Technical challenge

🤔 1  technical deep dive  with the  Technical Lead  - 1 hour

👋 1  personal experience  interview the  Head of Engineering  - 1 hour

👀 1  leadership  &  strategy  interview the  CTO  - 30 minutes

💌 Formal  hiring proposal .