Senior Backend Engineer

🕒 March 31

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Intuition Machines

51 - 200 employees

Founded 2014

🤖 Artificial Intelligence

🔒 Cybersecurity

☁️ SaaS

Artificial Intelligence • Cybersecurity • SaaS

Intuition Machines is a leader in machine intelligence, specializing in privacy-preserving AI platforms and research. The company provides AI/ML products and services to some of the largest online services worldwide, focusing on scaling and solving complex problems using machine learning. Intuition Machines develops innovative solutions like the hCaptcha Security Suite, which is used by enterprises globally to protect hundreds of millions of people with its privacy-first approach to security AI. The firm's offerings include the IM Perception Platform, which automates the train-deploy-improve cycle with a focus on active learning and robust APIs. Additionally, Intuition Machines engages in cutting-edge AI/ML research, contributing to advances in security machine learning, fraud detection, and data privacy. The company also collaborates with top online payment processors, offering models with high precision and almost zero false positives, without using personally identifiable information. Notably, Cloudflare has chosen Intuition Machines' hCaptcha Enterprise for securing a significant portion of internet sites.

📋 Description

• Design, build and maintain secure, scalable backend services and algorithms • Implement DevSecOps practices: security protocols, monitoring, metrics, and automated alerts • Write clean, well-documented, production-quality code with thorough test coverage • Strengthen engineering practices through code reviews, testing automation, and on-call support • Translate complex requirements into actionable sprint tasks while mentoring team members

🎯 Requirements

• Minimum of 5 years of hands-on experience in a similar role. • Expertise in backend development in Python and at least one of: Golang, Rust, C++. • Experience with Kubernetes, metrics-driven deployment, containerization, and microservices. • Experience in implementing and using monitoring and tracing solutions. • Experience with key-value stores and SQL databases and optimizing their performance. • Experience with high traffic, low latency distributed systems: queue-first arch, sharding, etc. • Demonstrated architecture expertise (gather requirements, problem solve and recommend).

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