At Escape, we build an automated security scanning platform that analyzes real customer applications at scale and surfaces high-signal, real-world vulnerabilities.

The challenge is not “run a scanner once.”
It’s running millions of reliable, isolated, cost-efficient analysis tasks across widely different application behaviors while keeping results accurate and production-grade.

We are looking for a Mid-level Backend Software Engineer to join the Security Scanners team.

You will work on the core systems that execute, scale, and operate our scanning workloads in production. You’ll collaborate closely with Security Research, who design detection logic, and turn that into robust, maintainable, high-performance software.

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 join a focused backend team working on scanner execution and orchestration

What you will do

You will contribute directly to the design, implementation, and operation of the systems that power our scanning engine in production.

You will be expected to:

• Build and evolve backend systems that execute and orchestrate scanning workloads at scale

• Improve reliability, isolation, and reproducibility of long-running scans

• Design clean, maintainable abstractions around scanner execution and resource management

• Optimize performance and cost efficiency of distributed workloads

• Systematically reduce flakiness in browser-based and network-heavy scans

• Partner with Security Research to integrate detection logic into production-ready components

• Contribute to observability, monitoring, and incident resolution in production

Key Responsibilities:

• Backend Engineering: Design and implement production-grade backend services with strong attention to readability, testability, and maintainability.

• Scalability & Concurrency: Build systems that handle high-throughput, queue-driven workloads with predictable performance.

• Execution Platform: Contribute to scheduling, isolation, resource governance, queueing/backpressure, and workload orchestration.

• Production Ownership: Participate in monitoring, debugging, performance tuning, and continuous improvement of reliability in production.

• Cross-Team Collaboration: Work closely with Security Research and Platform teams to ensure new detection logic integrates safely and cleanly.

• Browser Automation: Work with Playwright and headless Chromium to instrument browsers and improve stability and determinism of web automation tasks.

Tech Stack

• Languages: Python (primary), Go (performance/network-heavy components)

• Runtime: containerized workloads on Kubernetes (EKS), long-running and resource-intensive scans

• Scaling: Kubernetes Jobs + queue-driven autoscaling

• Web automation: Playwright + headless Chromium

• Data: PostgreSQL, S3-compatible object storage, Redis (limited use)

• Messaging: Kafka

• Observability: OpenTelemetry + Grafana Cloud

• CI/CD & Infra: GitLab CI, Terraform

Perks

• 💸 Significant equity (Stock Options/BSCPE), 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)

• 3–5 years of experience: Backend engineering experience with solid software fundamentals and contributions to production systems.

• Python Proficiency: Comfortable building reliable, maintainable backend services in Python.

• Distributed & Async Workloads: Experience working with job queues, background workers, crawling, or data-processing pipelines.

• Production Awareness: Understanding of reliability, observability, performance constraints, and failure modes in real-world systems.

• Scalability Fundamentals: Good grasp of concurrency, resource management, and containerized or distributed environments.

• Engineering Rigor: Writes clean, testable code and makes pragmatic trade-offs with long-term maintainability in mind.

• Bonus: Experience with browser automation (Playwright, Puppeteer, Selenium) or sandboxed execution environments.

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

💻 1 Coding challenge - 1 hour

🤔 1 System Design with the Technical Lead - 1 hour

👀 1 Technical Deep Dive interview the CTO - 30 minutes

🚀 1 Impact & Ownership interview with the CEO - 30 minutes

💌 Formal hiring proposal.