Senior Site Reliability Engineer - AI-Driven Automation

Jobtailor

New Jersey

On-site

USD 120,000 - 180,000

Full time

9 days ago

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Job summary

Jobtailor in New Jersey seeks an experienced Site Reliability Engineer to enhance production readiness, reliability design reviews, and release planning. You will own monitoring, alert strategies, and incident response while collaborating with cross-functional teams to drive improvements in high-availability environments.

The role requires strong scripting skills (Python/Java/Go/PowerShell) and experience with distributed systems; ITIL or SRE certifications are a plus.

Qualifications

10+ years of related technical experience across application support engineering, software engineering, site reliability engineering, production support, or application operations.
Bachelor’s degree preferred or equivalent practical experience.
Experience supporting business-critical applications in production environments.
SRE, observability, automation, or ITIL certifications are a plus.

Responsibilities

Participate in design reviews, sprint zero, and delivery planning to define and validate reliability requirements.
Collaborate with Major Release Management to ensure releases meet SRE standards and support-readiness requirements.
Define and improve monitoring, observability, dashboards, telemetry coverage, and alert strategy.
Assist in major incident response and root cause analysis.
Drive automation, intelligent tooling, and AI-assisted remediation.
Serve as the operational readiness authority before production releases.
Lead capacity, performance, workload trend, and resiliency analysis.
Establish and track reliability metrics including availability, incident volume, MTTx, alert quality, automation coverage, and change failure rate.
Participate in application reliability governance and service reviews.
Prepare executive reporting on reliability posture, release readiness, observability maturity, incident trends, risks, and improvement outcomes.
Promote SRE practices through mentoring, standards adoption, best-practice sharing, and approved AI tools