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This job expired on 20/09/2026. It no longer accepts applications.

Senior Site Reliability Engineer

Intuition Machines

Remote
Remote Senior 🇬🇧 English
Kubernetes Python JavaScript Go C++ Rust CI/CD monitoring networking proxies Cloudflare virtual networking load balancing web application firewall distributed systems sharding

Job description

About the role

Intuition Machines is looking for a Senior Site Reliability Engineer to own performance, availability, security and cost‑effectiveness of its AI‑driven enterprise security products, including the hCaptcha suite. You will operate across infrastructure, data and application layers of a globally distributed, internet‑scale system.

Key responsibilities

  • Design, implement and maintain solutions for systems handling millions of requests per second across multiple cloud providers.
  • Improve performance, uptime, security and cost while keeping development teams productive.
  • Gather improvement ideas from customers, internal stakeholders and system metrics, and make rapid decisions.
  • Review and validate code changes, ensuring reliability and correctness through both human and automated reviews.

Required profile

  • Minimum six years of hands‑on experience in engineering, DevOps or SRE roles.
  • Deep expertise in Kubernetes and monitoring of applications, infrastructure and networks.
  • Strong background in backend development within Kubernetes‑based environments.
  • Proven experience with multi‑cloud networking, load balancing, virtual networking and web‑application firewalls.

Required skills

  • Kubernetes
  • Python, JavaScript, Go, C++, Rust
  • CI/CD pipelines
  • Monitoring and observability tools
  • Networking, proxies, CDNs (e.g., Cloudflare)
  • Multi‑cloud architectures, virtual networking, load balancing, WAF
  • Distributed systems, queue‑first architectures, sharding

What we offer

  • Fully remote position with flexible working hours.
  • Opportunity to work with cutting‑edge AI/ML models and a globally distributed team.

Questions fréquentes

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Published 1 month ago

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