Kubernetes Platform Tech Lead - SRE & Automation

DRW Holdings, LLC; Chicago (IL); On-site; USD 250,000 - 300,000; Full time

Benefits offered by this job

Annual discretionary bonus

Health, dental and vision insurance

401k with employer match

Short and long-term disability

Life and AD&D insurance

Health savings accounts (HSA)

Flexible spending accounts (FSA)

Job summary

DRW is seeking a Service Reliability Engineering Technical Lead in Chicago to own and improve DRW's Kubernetes platform, scale hundreds of clusters, and drive automation and reliability for trading desks and data science teams.

You will mentor engineers, set engineering standards, partner with business units for onboarding, and promote the platform through demos and talks while relentlessly reducing toil and technical debt.

Qualifications

• Multiple years of Kubernetes administration experience.
• Deep knowledge of networking, storage, and containerization fundamentals.
• Familiarity with AWS and/or Google Cloud Platform.
• A service focused attitude: you ask questions and focus on getting the right resources and solutions to people instead of rigid boundaries.
• Strong written and verbal communication skills.
• You enjoy leading by example and cultivating technical excellence in your team.

Responsibilities

• Own and improve infrastructure, processes, and standards for DRW’s Kubernetes platform.
• Work with different business units to onboard and deploy applications into DRW’s Kubernetes platform.
• Promote DRW’s Kubernetes platform with demos, lightning talks, and presentations.
• Relentlessly automate repetitive manual tasks.
• Provide exceptional customer service to platform users.
• Coach engineers on best practices and set a high standard for operational and technical excellence.

Skills

Kubernetes admin

Networking

Storage

Cloud (AWS/GCP)

Communication

Leadership

Tools

Flux

Prometheus

Fluentbit

Fluentd

Job description

DRW is seeking a Service Reliability Engineering Technical Lead in Chicago to own and improve DRW's Kubernetes platform, scale hundreds of clusters, and drive automation and reliability for trading desks and data science teams.

You will mentor engineers, set engineering standards, partner with business units for onboarding, and promote the platform through demos and talks while relentlessly reducing toil and technical debt.