System Reliability & Performance  

• Own the reliability, scalability, and performance of core production systems.  
• Perform advanced performance troubleshooting and tuning across OS, network, and application layers.  
• Optimize resource usage on bare-metal Linux servers to maximize efficiency and reliability.  

 

Data Infrastructure Reliability  

• Operate and scale our enterprise messaging and event streaming system with Kafka.  
• Ensure high availability and performance of our data warehouse with ClickHouse.  

 

Automation & Observability  

• Enhance system observability through metrics, tracing, and logging (Prometheus, Grafana, CheckMK, OpenTelemetry).  
• Design and maintain alerting systems that balance coverage with actionable signals.  

 

Incident Response & Coordination

• Lead high-severity incident response and cross-team coordination as the arbiter when failures have multi-team impact.  
• Drive blameless postmortems and systemic improvements.  

 

Reliability Culture & Mentorship  

• Mentor engineers on performance tuning, deployment safety, and reliability-first design.
• Promote a culture of automation, ownership, and operational excellence.

Experience  

• 5+ years in SRE, systems engineering, or infrastructure-focused roles (with at least 2+ years in a senior or lead position).  
• Strong track record managing large-scale production systems on bare-metal Linux.  

 

Technical Skills  

• Expert-level skills in Linux internals, system performance troubleshooting, and tuning.  
• Hands-on experience operating and scaling Kafka or equivalent messaging systems.  
• Hands-on experience operating and scaling ClickHouse or similar OLAP database.  
• Solid coding/scripting ability in Python, Go, or Bash.  
• Proficiency with Infrastructure-as-Code tools (Terraform, Ansible, etc.).  
• Experience building and operating highly available distributed systems.  

 

Soft Skills 

• Analytical problem-solver with a strong performance-first mindset.  
• Advocates for automation and reducing toil.  
• Communicates clearly across both technical and non-technical teams.  
• Thrives in high-accountability, reliability-driven environments.  

 

Nice-to-Have  

• Hands-on experience operating Kubernetes clusters on a scale. 
• Familiarity with modern Data Lakehouse architecture. 
• Prior experience with capacity planning and benchmarking at scale.

 

HIRING PROCESS 

Phone Screening > Onsite Interviews > Offering.