Senior AIOps Engineer, Incident Response

This position is posted by Jobgether on behalf of Quanata. We are currently looking for a Senior AIOps Engineer, Incident Response in United States.

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.

Accountabilities

The Senior AIOps Engineer, Incident Response is responsible for ensuring end-to-end production reliability and continuously improving operational maturity across cloud-based systems. This includes leading incident management activities and driving systemic improvements through data-driven insights and automation initiatives.

• 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
  
  

Requirements

This role requires strong experience in production operations or site reliability engineering, with a proven ability to manage incidents in complex distributed systems. Candidates should be comfortable operating in fast-paced, cross-functional environments with a strong focus on automation and continuous improvement.

• 6-8 years of experience in production operations, SRE, or technical support engineering roles
• Strong expertise in incident management, root cause analysis, and production troubleshooting
• Experience working in DevOps, SDLC, and change management environments
• Familiarity with tools such as Jira, Confluence, and modern observability platforms
• Strong analytical mindset with ability to identify trends and operational inefficiencies
• Excellent communication skills for cross-functional collaboration with engineering and leadership teams
• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• Experience with cloud platforms such as AWS and distributed system architectures (bonus)
• Exposure to AI/LLM systems, automation frameworks, or intelligent agents (strong advantage)
  
  

Benefits

• Competitive salary range: $215,000 - $280,000 (based on experience and internal equity)
• 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

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

• 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)
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.