About the role
As a Maintenance Engineer at Luminai, you will ensure the reliability, performance, and resilience of the systems that power mission-critical AI workflows. You’ll operate at the core of our production infrastructure — maintaining, monitoring, and continuously improving the systems that healthcare, finance, and telecommunications organizations depend on every day.
This is a highly ownership-driven role for someone who thrives on operational excellence, proactively prevents issues before they arise, and takes pride in keeping complex systems running smoothly in high-stakes environments. You’ll work closely with Engineering, Product, and Forward Deployed teams to ensure our deployments are stable, secure, and scalable.
This is a hybrid position. Our team is in-office 3 days a week (Mon, Tue, Thu) in San Mateo, California.
What You’ll Do
- Monitor, maintain, and improve the reliability of production AI systems and workflow infrastructure
- Proactively identify, diagnose, and resolve system issues across application, integration, and cloud infrastructure layers
- Own incident response processes, including root cause analysis and long-term remediation
- Implement monitoring, alerting, and observability tooling to ensure system health and uptime
- Collaborate with Engineering to harden deployments and improve system architecture for resilience and scalability
- Support customer-facing teams by troubleshooting and resolving technical issues in live environments
- Document system configurations, operational procedures, and recovery protocols
- Continuously improve reliability standards, deployment practices, and operational safeguards
What We’re Looking For
- 3+ years of experience in support engineering, site reliability engineering, or infrastructure maintenance
- Strong proficiency in Python or scripting languages
