[Hiring] Senior AIOps Engineer, Incident Response @Quanata

Role Description

We’re looking for an experienced production operations and reliability leader to help evolve Quanata’s operational support model through AI-driven automation and intelligent agent workflows. This role will own production health, incident response, and operational reliability while partnering closely with engineering and AI orchestration teams to improve scalability, reduce operational toil, and accelerate issue resolution.

This is a highly collaborative role for someone who enjoys solving complex production problems, improving systems at scale, and helping modernize operations through AI-native tooling and automation.

Your Day-to-Day

• Own production health, reliability, and operational support processes across critical systems and services
• Lead incident response efforts, stakeholder communication, root cause analysis, and post-incident reviews
• Identify patterns in production issues and drive improvements to reduce recurring incidents and operational overhead
• Design and implement AI-driven agents and workflows that automate support and operational tasks
• Partner with engineering, product, and AI orchestration teams to improve system resilience and operational efficiency
• Build and maintain operational runbooks, documentation, and knowledge base content for both human and AI-assisted workflows
• Support observability, monitoring, and troubleshooting efforts across cloud-based production environments
• Participate in on-call rotations and continuously improve operational readiness and response processes

Qualifications

• 6–8 years of experience in production operations, site reliability engineering, technical support engineering, or similar operational roles
• Strong background in incident management, root cause analysis, and production system troubleshooting
• Experience working within modern SDLC, DevOps, and change management environments
• Familiarity with operational tooling such as Jira, Confluence, and observability/monitoring platforms
• Strong analytical and problem-solving skills with the ability to identify trends and drive operational improvements
• Comfortable working cross-functionally with engineering, product, operations, and leadership teams
• Strong communication skills and ability to operate effectively in fast-moving technical environments
• Bachelor’s degree in Computer Science, Engineering, or equivalent relevant experience

Requirements

• Experience building or working with AI/LLM-powered systems, intelligent agents, or workflow automation tools
• Familiarity with cloud platforms such as AWS and modern observability ecosystems
• Experience with event-driven architectures, orchestration frameworks, or operational automation platforms
• Background leading operational transformation or reliability improvement initiatives
• Passion for AI-native operations, automation, and improving developer/support experiences

Benefits

• We provide a wide variety of health, wellness and other benefits including medical, dental, vision, life insurance and supplemental income plans for you and your dependents
• Headspace app subscription
• Monthly wellness allowance
• 401(k) Plan with a company match
• A one-time payment of $2K for in-home office equipment and furniture
• All employees accrue four weeks of PTO in their first year of employment
• New parents receive twelve weeks of fully paid parental leave
• Up to $5000 each year for professional learning, continuing education and career development
• LinkedIn Learning subscriptions and access to coaching opportunities through BetterUp