Site Reliability Engineer

Skybitra; New York (NY); Hybrid; USD 125,000 - 160,000; Full time

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

Build and govern SLOs, automate operations, and improve resilience across services and platforms.

You will define and measure reliability, lead incident response improvements, and automate away toil. You’ll partner with platform and product teams to design observable, failure‑tolerant systems with clear ownership and runbooks.

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

What you’ll need

• 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
• Based in New York City or remote.

Nice to have

• Experience running chaos experiments or game days and integrating learnings
• Hands‑on with Kubernetes platform operations or service mesh reliability
• Database and queue resilience patterns (replication, backpressure, retries)
• Security‑minded operations (secrets rotation, least privilege, hardened pipelines)
• Track record mentoring teams on SLOs, on‑call hygiene, and incident leadership