Senior AIOps Engineer, Incident Response

Jobgether • United States

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Lead production reliability, incident response, and AI-driven operational transformation for critical cloud-based systems at Quanata.

Key Highlights

Own end-to-end production health monitoring, incident management, and root cause analysis across distributed cloud environments

Design and deploy AI-driven agents and automation workflows to reduce operational toil and improve incident response

Requires 6-8 years of experience in SRE or production operations with strong incident management expertise

Key Responsibilities

Own production health monitoring, reliability processes, and operational support across critical services

Lead incident response, stakeholder communication, root cause analysis, and post-incident reviews

Identify recurring production issues and implement long-term fixes to reduce operational toil

Design and deploy AI-driven agents and automation workflows to streamline operational tasks

Collaborate with engineering, product, and AI orchestration teams to improve system resilience

Develop and maintain runbooks, operational documentation, and knowledge bases for human and AI use

Support observability, monitoring, and troubleshooting across distributed cloud environments

Participate in on-call rotations and continuously improve incident response readiness

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Technical Skills Required

AWS Jira Confluence Observability platforms Incident management Root cause analysis DevOps SDLC Change management

Benefits & Perks

Competitive salary range: $215,000 - $280,000

Fully remote-first work environment within the United States

Comprehensive health coverage including medical, dental, and vision insurance

Life insurance and supplemental income protection plans

401(k) retirement plan with company match

$2,000 home office equipment stipend

Annual $5,000 learning and professional development budget

LinkedIn Learning subscription and access to coaching platforms

Headspace subscription and monthly wellness allowance

Four weeks of paid time off in the first year

Twelve weeks of fully paid parental leave

Flexible remote work culture with core collaboration hours (9AM-2PM PT)

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Nice to Have

Experience with cloud platforms such as AWS and distributed system architectures

Exposure to AI/LLM systems, automation frameworks, or intelligent agents

Job Description

This role sits at the intersection of production reliability, incident response, and AI-driven operational transformation within a modern, cloud-first environment. The position is responsible for ensuring the stability and resilience of critical production systems while continuously improving how incidents are detected, managed, and resolved. It offers the opportunity to shape next-generation operational practices by integrating automation and intelligent agent workflows into daily support processes. Working closely with engineering, product, and AI teams, the role drives improvements in system observability, scalability, and response efficiency. It is ideal for someone who thrives in high-impact environments where reliability and innovation must evolve together. The position also involves participating in on-call rotations and supporting fast-moving production systems at scale.

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