Staff Site Reliability Engineer

Job summary

The Staff Site Reliability Engineer will enhance the reliability, scalability, and operability of enterprise data and AI platforms, utilizing Google Cloud Platform and Azure. Key responsibilities include defining SLOs and SLIs, automating deployment pipelines with Infrastructure-as-Code tools like Terraform, and leading multi-cloud architecture decisions while ensuring data security and governance best practices are followed.

Qualifications

• Master's degree in Computer Science, Engineering, or related field
• 10+ years of experience in Site Reliability Engineering, DevOps, or Platform Engineering
• Deep, hands-on expertise in GCP
• Proficiency with Infrastructure-as-Code tools
• Strong command of observability tooling
• Proven experience defining and operating against SLOs, SLIs, and error budgets
• Solid understanding of data security principles
• Experience with multi-cloud environments
• Demonstrated ability to lead without authority
• Excellent written and verbal communication skills
• Fluency in at least one systems or scripting language
• Experience with container orchestration
• Familiarity with data engineering patterns
• Understanding of agentic AI architectures
• Working knowledge of data governance frameworks

Responsibilities

• Define, instrument, and enforce SLOs, SLIs, and error budgets across all platform services
• Drive continuous reduction in MTTD and MTTR through improved observability
• Lead blameless post-mortems and translate findings into durable reliability improvements
• Systematically identify, measure, and eliminate operational toil
• Build and maintain self-serve infrastructure capabilities
• Automate deployment pipelines, configuration management, and operational workflows
• Serve as the primary GCP subject matter expert
• Lead multi-cloud architecture decisions across GCP and Azure
• Design and implement self-healing infrastructure patterns
• Champion data security and governance best practices
• Apply SRE principles to agentic AI workloads
• Partner with AI Platform teams to productionize agentic pipelines
• Drive adoption of AI-assisted operations tooling
• Guide and mentor junior and mid-level SREs
• Collaborate cross-functionally with Data Engineering, Software Engineering, Security, and Product teams
• Champion a culture of psychological safety, continuous learning, and reliability excellence
• Communicate platform health, risk posture, and reliability roadmaps clearly

Skills

Degrees

Relocation