Palona AI

AI Infrastructure Engineer

Palona AI
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29 days ago
Toronto, Canada +2 moreMid Level

Responsibilities

  • Design and evolve secure, scalable cloud infrastructure for real-time AI services and customer-facing applications.
  • Improve reliability through SLOs, observability, capacity planning, failure testing, and incident prevention.
  • Build safe, repeatable, auditable deployment and release systems.
  • Own infrastructure as code, environment consistency, and reusable platform patterns across development, staging, and production.
  • Partner with product and AI engineers on architecture, performance, data flows, and operational readiness.
  • Diagnose distributed-system failures across application, network, database, model-provider, and third-party integration boundaries.
  • Reduce infrastructure and model-serving costs without compromising customer experience or engineering velocity.
  • Strengthen secrets management, access controls, backup and recovery, vulnerability management, and other security foundations.
  • Build internal tooling and paved paths that reduce manual work for engineers.
  • Participate in incident response and convert incidents into system improvements, automation, documentation, and better engineering practices.

Requirements

  • At least 3 years of industrial experience in a relevant technical domain.
  • Strong software engineering fundamentals and experience building or operating production distributed systems.
  • Hands-on experience with a major cloud platform, especially AWS.
  • Experience with containers, infrastructure as code, CI/CD, monitoring, alerting, and production debugging.
  • Ability to write reliable automation and services in Python or another modern programming language.
  • Sound judgment regarding availability, latency, scalability, security, and cost tradeoffs.
  • Track record of taking ambiguous operational problems from diagnosis through durable resolution.
  • Clear communication during architecture reviews, launches, and incidents.
  • AI-native working habits and curiosity about the operational behavior of LLM- and agent-powered systems.

Benefits

  • Competitive salary and stock option plan.
  • Medical, dental, vision, retirement, leave, and disability benefits as applicable.
  • Family leave.
  • Short-term and long-term disability benefits.
  • Paid time off and company holidays.
  • Learning and development support.
  • Full-time, on-site work in Los Altos, United States.

Categories

DevOpsSite Reliability
Palona AI

About Palona AI

11-50 employees
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