P

Pace

AI agents for automating insurance operations

Infrastructure Engineer - Infrastructure

Cloud EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 4 years of experience running production infrastructure.
  • Experience with Kubernetes and infrastructure as code.
  • Experience leading a significant migration or cutover and the ability to explain how it was made safe.
  • Ability to own networking and security boundaries end to end.
  • Experience building dashboards, monitors, and runbooks used by the team.

Responsibilities

  • Own the platform on which the company's AI agents run, spanning the company's cloud and installations inside customer clouds.
  • Scale secure, sandboxed browser infrastructure used by the agents.
  • Plan and execute a zero-downtime cutover of production infrastructure.
  • Build observability and alerting to keep long-lived agent workloads reliable.
  • Bring up new regions and determine data-residency requirements for them.
  • Deploy the product inside enterprise customers' clouds and make those installations repeatable.

Desired Qualifications

  • Experience shipping software into customer-controlled environments, including bring-your-own-cloud, on-premises, or single-tenant enterprise environments.
  • Experience with workload isolation and sandboxing, or browser automation.
  • Experience with durable-execution or workflow engines.
  • Experience operating under compliance regimes such as SOC 2, GDPR, or HIPAA.
  • Experience in the insurance industry.

About the Company

Pace

AI agents for automating insurance operations

Pace builds AI agents that automate insurance back-office work. The agents autonomously perform end-to-end tasks such as submission intake, policy servicing, and claims handling (including First Notice of Loss) by navigating internal applications, interpreting documents, and even making phone calls. Their platform integrates with legacy systems, mainframes, and desktop apps so automation can span existing workflows. Unlike vendors that sell standalone software, Pace offers end-to-end outcomes with pricing based on successful transactions, targeting the sizable BPO spend in insurance and financial services and replacing manual or offshore workflows with AI-driven processes. The company aims to help insurers achieve faster, more accurate, and scalable operations by embedding AI agents into daily operations and outsourcing-like workflows.

Company size
51-200
Company stage
Series B
Total funding
$46M
Headquarters
New York City, New York
Founded
2024

Recently Posted Jobs

Explore more opportunities at Pace

See more jobs