Quanata2d ago

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Senior AIOps Engineer, Incident Response [Remote-US]

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Overview

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OtherEngineer

To help keep everyone safe, we encourage all applicants to pay close attention to protect themselves during their job search. When applying for a position online you are at risk of being targeted by malicious actors looking for personal data. Please be aware we will only reach out via email using the domain quanata.com. Anything that does not match those domains should be ignored and considered a security risk.

About Us

Quanata is on a mission to help ensure a better world through context-based insurance solutions. We are an exceptional, customer centered team with a passion for creating innovative technologies, digital products, and brands. We blend some of the best Silicon Valley talent and cutting-edge thinking with the long-term backing of leading insurer, State Farm.

Learn more about us and our work at quanata.com

Our Team

Quanata, LLC is an insurance technology innovation company that engineers advanced risk prediction and prevention solutions, develops risk-focused acquisition capabilities, and builds/supports a full-stack, flexible, digital & increasingly AI-native insurance platform. This helps our primary clients, State Farm and HiRoad Assurance Company, adapt to evolving market needs. Quanata, LLC is wholly owned and funded by State Farm.

As a company that prioritizes an inclusive and positive culture, we believe the core of our success is in hiring talented people — across disciplines — who want to help us make a quantifiable impact.

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.

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

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

Nice to Have

~1 min read

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

What We Offer

~3 min read

✓Benefits: We provide a wide variety of health, wellness and other benefits.These include medical, dental, vision, life insurance and supplemental income plans for you and your dependents, a Headspace app subscription, monthly wellness allowance and a 401(k) Plan with a company match.

✓Work from Home Equipment: Given our virtual environment— in order to set you up for success at home, a one-time payment of $2K will be provided to cover the purchase of in-home office equipment and furniture at your discretion. Also, our teams work with MacBook Pros, which we will deliver to you fully provisioned prior to your first day.

✓Paid Time Off: All employees accrue four weeks of PTO in their first year of employment. New parents receive twelve weeks of fully paid parental leave which may be taken within one year after the birth and/or adoption of a child. The twelve weeks is applicable to both birthing and non-birthing parent.

✓Personal and Professional Development: We’re committed to investing in and helping our people grow personally and professionally. All employees receive up to $5000 each year for professional learning, continuing education and career development. All team members also receive LinkedIn Learning subscriptions and access to multiple different coaching opportunities through BetterUp.

✓Location: We are a remote-first company for most positions so you may work from anywhere you like in the U.S, excluding U.S. territories. For most positions, occasional travel may be requested or encouraged but is not required. Some positions might require travel per the job description provided to the employee. Employees based in the San Francisco Bay Area or in Providence, Rhode Island may commute to one of our local offices as desired.

✓Hours: We maintain core meeting hours from 9AM - 2PM Pacific time for collaborating with team members across all time zones.

Location & Eligibility

Where is the job

Worldwide

Fully remote, anywhere in the world

Who can apply

Open to applicants worldwide

Listing Details

Posted: May 28, 2026
First seen: May 28, 2026
Last seen: May 30, 2026

Posting Health

Days active: 0
Repost count: 0
Trust Level: 67%
Scored at: May 28, 2026

Signal breakdown

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Quanata

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Quanata is an AI-powered insights platform helping businesses make smarter decisions by enabling them to collect, analyze, and act on data more effectively.

Employees

Founded

2023

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Jobs

External application · ~5 min on Quanata's site

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