K
AI

Site Reliability Engineer

Kronos Research ·

Actively hiring Posted about 4 years ago

Role overview

Site reliability engineers are responsible for the overall performance and reliability of Kronos’ machine learning and trading infrastructure. Some call it DevOps or MLOps. Site reliability engineers design and implement the tools that automate building reliable and performant systems.

You will be in a team managing hundreds of servers located in tens of data centers hybrid on premise and cloud. Your work is to ensure the infrastructure stability by redundancy and failover, achieved by automation.

What you'll work on

  • Automation. Site reliability engineers are obsessed with automation and tooling
  • Deployment & change management, canary and release processes of Kronos’ learning and trading infrastructure
  • Drive efficiencies in systems and processes: capacity planning, configuration management, performance tuning, and monitoring
  • Availability, performance, efficiency & scaling
  • Incident response, including on-call experience and a comprehensive postmortem process

What we're looking for

  • Experience in building and deploying machine learning models
  • Understanding of Unix/Linux systems from kernel to shell and beyond, taking in system libraries, file systems, and client-server protocols along the way
  • Networking: knowledge and understanding of network theory, such as different protocols (TCP/IP, UDP, ICMP, etc), MAC addresses, IP packets, DNS, OSI layers, and load balancing
  • Have experience in migrating production databases, or having knowledge of how to narrow down the service downtime when migration
  • Interest in trading and financial markets

Tags & focus areas

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Dev Sys Admin Python Docker Aws Gcp