Senior Software Engineer - Security / AI

Benefits

Parental leave

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Non-birth-parent leave

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source

Seniority

Senior From the posting source

Work mode

Hybrid From the posting source

In-office days

2 days From the posting source

Schedule

Shift type

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Senior Software Engineer - Security / AI Paris Office | Hybrid | Remote Location: Paris (75002) | Hybrid (2 days remote/week) About Escape Join Escape, a fast-growing leader in AI-powered cybersecurity. Our mission-driven engineering team (18 engineers, 4 technical leads, 3 product owners) is dedicated to redefining application security with cutting-edge detection and automation. Led by CEO Tristan Kalos and CTO Antoine Carossio, we operate at the forefront of technology and research from our Paris office. About the Role As the Lead Security Researcher, you will guide and mentor a team of 3 talented security researchers. You'll set technical direction, champion innovation, and ensure research translates into impactful production solutions. This is a hands-on leadership role where your expertise will accelerate our AI-driven detection capabilities and make a tangible impact on the future of automated security. What You'll Do - Agentic scanning systems: Build systems that autonomously explore applications, maintain context, and execute complex testing strategies. - Security detection engine: Design and implement reliable, production-grade vulnerability detection logic (injection, auth issues, business logic flaws, etc.). - AI-driven testing: Integrate LLMs and structured reasoning into scanning workflows to improve coverage and reduce false positives. - Distributed infrastructure: Work on systems that orchestrate thousands of concurrent scans (Kubernetes, queues, resource management). - Performance & reliability: Ensure scans are fast, deterministic, and cost-efficient despite high complexity and concurrency. - Core platform design: Contribute to architecture decisions around memory systems, execution environments, and data models. Our Tech Stack & Focus - Languages: Python (primary),

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