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Senior Backend Engineer - Remote

Posted 3 weeks ago
Intuition Machines logo

Intuition Machines

Software Development
Full Time
Worldwide

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Overview

Intuition Machines uses AI/ML to build enterprise security products like our hCaptcha security suite. We apply our research to systems that serve hundreds of millions of people, with a team distributed around the world. Our approach is simple: low overhead, small teams, and rapid iteration.

In Short

  • 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).

Nice to have:

  • Willingness to learn and work across different technologies: Python, Golang, Redis, PostgreSQL, Kafka, RabbitMQ, Clickhouse, Kubernetes, Helm, AWS, Azure, JavaScript.
  • Familiarity with security frameworks, attack vectors, botnets, OLAP at scale, and online + active learning systems.
  • Experience or interest in AI/ML and blockchain technologies.

Benefits

  • Fully remote position with flexible working hours.
  • An inspiring team of colleagues spread all over the world.
  • Pleasant, modern development and deployment workflows: ship early, ship often.
  • High impact: lots of users, happy customers, high growth, and cutting edge R&D.
  • Flat organization, direct interaction with customer teams.

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