Senior Site Reliability Engineer (Data & Analytics Infrastructure)

What you'll do

• Design, build, and evolve multi-datacenter, large-scale analytic systems focusing on performance, scalability, and resilience
• Operate and improve core analytical data stores: Vertica, Presto, Druid, Tableau, and related systems
• Ensure high reliability and low latency for systems accessed by diverse internal and external clients
• Build and maintain automation stacks end-to-end using tools such as Chef, Mesos, Docker, Kubernetes
• Develop internal management, deployment, and monitoring tools primarily in Scala, with opportunities to use Python or Ruby
• Enhance self-service capabilities to empower engineering teams while maintaining high operational standards
• Own the full lifecycle of reliability: monitoring, troubleshooting, on-call rotation, incident management, root cause analysis, and long-term fixes
• Define and implement best practices for observability, automation, SLIs/SLOs, capacity management, and cost/performance optimization
• Drive technical innovation, migrations (including to Kubernetes), and reliability improvements across platform components
• Partner with product teams, data stakeholders, and platform engineers to ensure consistency, usability, and performance
• Share technical vision, contribute architectural proposals, and influence system evolution across the organization
• Document processes and systems extensively to improve onboarding and daily operations

Requirements

• Master's or PhD in Computer Science or equivalent experience
• 5+ years in backend engineering, SRE, DevOps, or distributed systems
• Strong coding skills in Scala, Java, or another statically typed language
• Scripting experience in Python or Ruby
• Deep understanding of distributed systems design, tuning, scalability, reliability
• Experience with analytic databases and query optimization
• Solid experience with Linux/UNIX environments
• Hands-on knowledge of container technologies (Docker) and orchestration systems (Mesos, Kubernetes)
• Strong SRE mindset with passion for automation, observability, reliability, documentation, and reducing toil
• Familiarity with CI/CD pipelines, configuration management, and infrastructure-as-code
• Excellent communication skills
• Team player with proactive mindset
• Comfortable working in high-scale environments and taking ownership of complex problems
• Willingness to join on-call rotation

Tech stack

Benefits