Site Reliability Engineer - Reliability & Incident Response

Skybitra

New York (NY)

On-site

USD 125,000 - 160,000

Full time

14 days+

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Job summary

Skybitra is seeking a Senior Reliability Engineer to operate production systems and drive resilience across platforms. You will own SLOs, improve on‑call health, and design observable, failure‑tolerant architectures in collaboration with product teams.

Responsibilities include leading incident reviews, building dashboards, and automating runbooks. Strong Python/Go automation and Kubernetes familiarity are preferred, with a focus on scalable, secure operations.

Qualifications

  • Significant experience operating production systems and improving on‑call health.
  • Depth in observability tooling (metrics, logs, traces) and alert design.
  • Automation skills in Python, Go, or similar to codify runbooks and guardrails.
  • Proficiency with incident management practices and stakeholder communication.
  • Understanding of scalability basics: load patterns, capacity planning, and failure modes.

Responsibilities

  • Establish and evolve SLOs/error budgets, and align alerting to customer‑impacting signals
  • Build high‑signal dashboards, logging, and tracing for critical user journeys
  • Automate runbooks, chaos/failover drills, and toil reduction for on‑call teams
  • Lead post‑incident reviews, drive actions to completion, and track reliability trends
  • Partner on architecture and capacity plans that balance reliability, latency, and cost

Skills

Reliability engineering
On-call health
Stakeholder communication
Problem solving

Tools

Python
Go
Kubernetes
Service mesh

Job description

Skybitra is seeking a Senior Reliability Engineer to operate production systems and drive resilience across platforms. You will own SLOs, improve on‑call health, and design observable, failure‑tolerant architectures in collaboration with product teams.

Responsibilities include leading incident reviews, building dashboards, and automating runbooks. Strong Python/Go automation and Kubernetes familiarity are preferred, with a focus on scalable, secure operations.

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