Senior Site Reliability Engineer (Analytics Infrastructure)

What you'll do

• Design, operate, and evolve distributed analytics infrastructure focusing on scalability, resilience, and performance
• Manage critical data platforms including Vertica, Presto, Druid, Tableau, and related systems
• Ensure reliability and low-latency access for a broad range of users and services
• Develop and maintain automation, deployment, and orchestration systems using Chef, Docker, Mesos, and Kubernetes
• Build internal tooling and operational frameworks primarily in Scala, with opportunities to work in Python or Ruby
• Enhance self-service capabilities for engineering teams while maintaining strong operational standards
• Participate in on-call rotations, incident response, troubleshooting, and root cause analysis
• Improve observability, automation, capacity planning, and cost/performance optimization
• Contribute to infrastructure migrations and reliability initiatives including Kubernetes adoption
• Work closely with product, data, and platform engineering teams
• Contribute to architectural discussions and help shape platform evolution
• Share knowledge and improve documentation, onboarding, and operational practices

Requirements

• 5+ years of experience in backend engineering, SRE, or distributed systems roles
• Strong programming skills in Scala, Java, or another JVM/statically typed language
• Scripting experience in Python
• Deep understanding of distributed systems including scalability, reliability, concurrency, and performance tuning
• Experience with large-scale data or analytics systems such as query engines, distributed storage, or OLAP databases
• Familiarity with query optimization, high-concurrency workloads, and data-intensive architectures
• Strong experience in Linux/Unix environments and production system operations
• Hands-on experience with containerization and orchestration technologies (Docker, Kubernetes, Mesos)
• Proven ability to build automation, improve reliability, and reduce operational toil
• Experience with CI/CD pipelines, infrastructure-as-code, and configuration management systems
• Strong understanding of observability practices (metrics, logging, tracing) in distributed systems
• Ability to work effectively with cross-functional teams including product engineers and data stakeholders
• Strong communication skills
• Ownership mindset for operating and improving production systems at scale
• Willingness to participate in on-call rotations and incident response

Tech stack

Benefits