Senior Kubernetes Reliability Engineer - Scale & Automate

Digitailor; Chicago (IL); On-site; USD 220,000 - 280,000; Full time

Benefits offered by this job

Group medical insurance

Pharmacy coverage

Dental and vision insurance

401k with discretionary match

Short and long-term disability

Life and AD&D insurance

Health savings accounts

Flexible spending accounts

Job summary

DRW in Chicago is seeking a Senior Engineer to help run its Kubernetes platform spanning hundreds of clusters and thousands of nodes. You will work with trading desks and platform teams to ensure performance, reliability, and cost-effectiveness while automating repetitious tasks.

You’ll onboard and deploy applications, engage with internal customers, and develop new components. Ideal candidates have Kubernetes experience, cloud familiarity (AWS/GCP), strong communication, and a collaborative,

Qualifications

• Experience administering Kubernetes clusters.
• Strong knowledge of networking, storage, and containerization fundamentals.
• Familiar with AWS and/or Google Cloud Platform.
• Service-focused attitude and collaboration across teams.
• Excellent written and verbal communication skills.
• Evidence-based discussion of technical and operational topics.
• Eager to learn, collaborate, and solve problems under constraints.

Responsibilities

• Onboard and deploy applications into DRW's Kubernetes platform.
• Automate repetitive manual tasks.
• Provide exceptional customer service to platform users.
• Solve complex problems and build new features/components.
• Work with talented, curious coworkers daily.
• Engage with internal customers and infrastructure stakeholders.

Skills

Kubernetes experience

Networking fundamentals

AWS/GCP familiarity

Service-focused attitude

Written and verbal communication

Cross-team collaboration

Eager to learn

Tools

Flux

Fluentbit

Fluentd

Prometheus

Job description

DRW in Chicago is seeking a Senior Engineer to help run its Kubernetes platform spanning hundreds of clusters and thousands of nodes. You will work with trading desks and platform teams to ensure performance, reliability, and cost-effectiveness while automating repetitious tasks.

You’ll onboard and deploy applications, engage with internal customers, and develop new components. Ideal candidates have Kubernetes experience, cloud familiarity (AWS/GCP), strong communication, and a collaborative,