Site Reliability Engineer (SRE) - AI Platform & Cloud
Core
Operate, monitor, and maintain infrastructure supporting GenAI applications (training, inference, feature store, data ingestion, model serving) in a regulated financial environment.
Role type
Director-level Site Reliability Engineer (SRE)
Builds
AI/ML platforms, GPU clusters, and data pipelines for financial services
Domain
Financial Services / AI Platform / Cloud Infrastructure
Deliverable
production ML models
Required skills
Kubernetes, Cloud platforms (AWS/Azure/GCP), Infrastructure-as-Code (Terraform/Helm), Python/Go/Java, GPU cluster management, Observability (Prometheus/Grafana/ELK), Capacity planning, Incident response, Networking (TCP/IP/DNS)
Preferred skills
Generative AI implementation, ModelOps/ML Ops, Chaos engineering, Microservices architecture, Data pipeline technologies (Kafka/Spark/Flink)
Technologies
Kubernetes, AWS, Azure, Google Cloud, Terraform, Helm, Python, Go, Java, Docker, Prometheus, Grafana, ELK, Kafka, Spark, Flink, Snowflake, Redis
Responsibilities
Operate and maintain infrastructure for GenAI applications; Design and build automation to reduce manual toil; Develop and maintain infrastructure-as-code for compute, storage, and network; Establish and enforce SLOs/SLIs/SLAs and error budgets; Lead incident response, root cause analysis, and postmortems; Perform capacity planning and scaling strategies; Optimize cost vs. performance tradeoffs; Harden systems for security and compliance; Collaborate across teams for safe deployment and integration; Define disaster recovery strategies; Maintain operational documentation; Participate in 24/7 on-call rotations.
Seniority
Director, hands-on IC with strategic leadership
