Python Core Engineer
Why Aisle?
Aisle is redefining how enterprises secure their software with an AI agent for autonomous vulnerability remediation. Vulnerabilities are the #1 root cause of cyber incidents, yet most organizations take weeks or months to patch what attackers exploit in days. We’re changing that.
Our mission is to protect democratic societies from the most sophisticated cyberattacks. We do that by giving organizations - including those operating critical infrastructure - the power to harden their systems and resolve security issues at superhuman speed and scale. Backed by world-class founders and advisors, we’re creating a new category in cybersecurity at the intersection of AI, automation, and enterprise resilience.
We’re a small, talent-dense team spread across the Europe, US and Canada. We value high ownership, high velocity, and low-ego collaboration. If you want to work with world-class minds in AI and security, thrive in fast-moving environments, and care about solving one of the toughest challenges in tech, Aisle is the place for you.
What we're looking for
3+ years of experience in back-end engineering with Python (or similar high-level language)
Expertise in building scalable, distributed systems and microservices architectures
Strong experience with cloud platforms (AWS preferred) and containerized environments (Docker, Kubernetes)
Familiarity with databases (SQL/NoSQL) and messaging/queueing systems
Hands-on experience with CI/CD pipelines and automated testing practices
Solid understanding of secure coding principles and interest in cybersecurity
Bonus: background in AI/ML integration, data pipelines, or enterprise SaaS products
What you’ll do
Drive end-to-end development of back-end components: design, implementation, testing, deployment, and monitoring
Contribute to architecture and technical design decisions for scalable, distributed systems
Build and optimize APIs and services to support AI-driven vulnerability detection and remediation
Improve the efficiency, scalability, and security of our core platform
Collaborate with front-end, AI research, and DevOps teams to deliver features end-to-end
Participate in code reviews, knowledge sharing, and mentoring within the team