Senior AI Operations Engineer
Core
Design, automate, and operate enterprise-scale AI platforms and infrastructure to support mission-critical workloads across Azure and AWS environments.
Role type
Senior Site Reliability Engineer (AI Infrastructure & Operations)
Builds
Highly reliable, observable, and automated AI platforms running on Azure and AWS
Domain
Pharmaceutical / Life Sciences / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Site Reliability Engineering, Cloud Operations, Observability (Datadog, Grafana, Splunk, OpenTelemetry), Python, Bash, Distributed Systems, Containerization, Incident Management, Technical Mentoring
Preferred skills
AI/ML Operations, Model Serving, LLM Infrastructure, Infrastructure-as-Code (Terraform, CloudFormation), Regulated Environments, SRE/ITIL Certifications
Technologies
Azure, AWS, Datadog, Grafana, Splunk, New Relic, OpenTelemetry, Python, Bash, Terraform, CloudFormation
Responsibilities
Design and implement enterprise-scale observability solutions; Build monitoring, alerting, and distributed tracing capabilities; Lead major incident response and root cause investigations; Create AI-driven operational tools for diagnosis and automation; Build scalable automation solutions to reduce operational toil; Partner with product engineering teams to influence platform readiness and reliability standards; Coach SREs and Operations Engineers on best practices.
Seniority
Senior, hands-on IC with mentorship responsibilities
