Staff SRE: Scale, Observability & Kubernetes

Replit; Foster City (CA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive Salary & Equity

401(k) with 4% match

Health, Dental, Vision and Life Ins.

Short/Long Disability

Parental, Medical, Caregiver Leave

Job summary

Replit is seeking aStaff Site Reliability Engineer to ensure reliability, scalability, and performance of its global infrastructure. You will lead incident response, design robust observability, and drive automation across Kubernetes-based deployments.

You will mentor engineers while collaborating with product teams to maintain high availability and drive reliability as a core company value.

Qualifications

• 8–10 years of experience in SRE or similar roles.
• Strong programming in Python or Go with well-tested code.
• Deep understanding of distributed systems and SOA.
• Experience with Kubernetes and cloud-native tech.
• Proven observability and incident-management track record.
• Experience with Terraform, Pulumi, and IaC
• Excellent written and verbal communication; mentoring skills.

Responsibilities

• Architect and implement observability, dashboards, and metrics.
• Define SLOs/SLIs and monitor reliability standards.
• Lead incident management with blameless post-mortems.
• Automate operations and build CI/CD pipelines.
• Optimize Kubernetes deployments and latency globally.
• Debug, harden, and design long-term fixes for distributed systems.
• Provide staff-level design review and guidance.
• Educate and mentor engineers on reliability practices.
• Write high-quality Python/Go code for internal tools.

Skills

Python

Go

Distributed systems

Kubernetes

Incident management

Terraform

Pulumi

Observability

Communication

Mentoring

Tools

Prometheus

Grafana

Datadog

OpenTelemetry

GCP

Job description

Replit is seeking aStaff Site Reliability Engineer to ensure reliability, scalability, and performance of its global infrastructure. You will lead incident response, design robust observability, and drive automation across Kubernetes-based deployments.

You will mentor engineers while collaborating with product teams to maintain high availability and drive reliability as a core company value.