Senior Site Reliability Engineer, AI Infrastructure

Key responsibilities

• Own service level objectives, error budgets, and reliability targets for the infrastructure underpinning cloud-based platforms — ensuring infrastructure observability (metrics, logs, traces), alert quality, and telemetry completeness across platform components and serving endpoints
• Design, build, and maintain infrastructure-as-code, operational automation, and change control workflows for AI/ML platforms — with a focus on repeatability, consistency, and toil reduction
• Implement and maintain platform security controls — including network segmentation, secrets management, encryption, and data protection safeguards — aligned to compliance requirements and partnering with security teams to respond to emerging risks
• Lead incident response and blameless postmortems; validate backup/restore and disaster recovery processes; conduct game days and resiliency testing to harden platform and infrastructure reliability
• Mentor engineers, influence design reviews, and collaborate across engineering teams to improve platform resiliency, cost efficiency, capacity planning, and operational standards

Qualification and Skills

Minimum

• 5+ years in SRE, platform engineering, or infrastructure roles supporting production cloud environments and mission-critical applications
• Strong proficiency with observability — metrics, logging, distributed tracing, SLI/SLO frameworks — and production ownership including incident response, blameless postmortems, and on-call operations
• Strong proficiency with Infrastructure as Code (Terraform), GitOps practices, and CI/CD for infrastructure and platform changes
• Working proficiency with cloud platform administration — compute, networking, storage, and operating managed data or AI/ML platform services in production (e.g., Databricks, Azure ML, or Kubernetes-hosted infrastructure)
• Working proficiency with platform security — network segmentation, secrets management, encryption at rest and in transit, and key management
• Strong programming skills for automation, operational tooling, and infrastructure management
• Strong communication and documentation skills — able to write runbooks, lead postmortems, influence operational standards across teams, and translate technical complexity for diverse audiences

Preferred

• Experience with disaster recovery planning, multi-region patterns, and capacity or cost optimization (FinOps)
• Working knowledge of container orchestration (Kubernetes), progressive delivery patterns (blue/green, canary), and data lineage tooling…