Senior Platform Reliability Engineer - Kubernetes & Cloud

Modal; New York (NY); On-site; USD 150,000 - 190,000; Full time

Job summary

Modal builds cloud infrastructure services that empower customers to run production systems with reliability and scale. This role targets deep systems thinkers who love stacking nines and improving performance and uptime across a growing platform.

As a key participant in reliability initiatives, you will own architectural changes, drive operational processes, and manage environments with Kubernetes, Postgres, and Redis at scale. In-person collaboration in NYC or Stockholm offices is expected.

Qualifications

• 5+ years of experience writing high-quality production code.
• 2+ years of on-call experience for critical production services.
• Strong cloud skills, and deep familiarity with at least one hyperscaler cloud (AWS preferred).
• Familiarity with auto scaling, fleet management, and capacity planning at scale.
• Experience operating databases, monitoring, CI/CD, and other infrastructure, at scale.

Responsibilities

• Identifying architectural changes to improve reliability and performance.
• Fostering a culture of reliability across Modal’s engineering organization.
• Defining and implementing operational processes such as deployments, upgrades, etc.
• Operating systems like Kubernetes, Postgres, Redis, etc.
• Participating in on-call rotations, and responding to production incidents.

Skills

Production-grade coding

On-call experience

Cloud computing

Kubernetes scaling

Monitoring/CI-CD

Distributed systems thinking

Tools

Kubernetes

Postgres

Redis

CI/CD

Job description

Modal builds cloud infrastructure services that empower customers to run production systems with reliability and scale. This role targets deep systems thinkers who love stacking nines and improving performance and uptime across a growing platform.

As a key participant in reliability initiatives, you will own architectural changes, drive operational processes, and manage environments with Kubernetes, Postgres, and Redis at scale. In-person collaboration in NYC or Stockholm offices is expected.