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

Requirements

3+ years of experience in support engineering, site reliability engineering, or infrastructure maintenance
Strong proficiency in Python or scripting languages
Experience managing cloud infrastructure (AWS, GCP, or Azure)
Strong problem-solving skills and a proactive, preventative mindset
Clear communication skills and ability to collaborate across engineering and customer-facing teams
High ownership and accountability in high-reliability environments

Benefits

Offers Equity 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythonscripting languagescloud infrastructure managementincident responseroot cause analysismonitoring toolsalerting toolsobservability toolingsystem architecturedeployment practices

Soft Skills

problem-solvingproactive mindsetclear communicationcollaborationownershipaccountability