Lead Product Engineer, Observability

Allstate

Remote

Quick summary

Work type: Remote
Location: IL
Salary: $100,000–$170,500 / yr
Posted: 1 day ago
Nearby: 70 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $190k

This role $135k

$85k most similar roles pay here $240k

This role pays less than 92% of similar roles. Most pay $164,787–$215,500 — the shaded band above. At the midpoint, this role pays about $135k versus about $190k for comparable roles.

Based on 240 similar postings.

Employer

About Allstate

The Allstate Corporation is one of the largest publicly held personal lines insurers in the US, widely recognized for its "You're In Good Hands With Allstate®" slogan.

Allstate currently has 36 open roles on FindRole.

Listed pay typically runs $100,000–$170,500 across 36 roles with salary data.

Most-posted roles

View all roles at Allstate

At a glance

TL;DR · Lead Product Engineer, Observability

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Allstate is hiring a Lead Product Engineer to lead the development of its AI-powered Observability platform, focusing on automation and intelligent insights in hybrid and multi-cloud environments. This role involves designing agentic AI solutions for anomaly detection and automated remediation, embedding predictive analytics into observability platforms, and developing AIOps frameworks to enhance operational efficiency. The engineer will work with technologies like Java/Spring Boot, Python, Node.js, React, and Kubernetes, enhancing existing tools such as Datadog and Dynatrace with custom integrations and AI capabilities. Essential skills include experience in software development, observability platforms, agentic AI systems, and a passion for emerging technologies in the field of AI-driven operations.

Skills

Python Java Spring Boot Node.js React Kubernetes Datadog Dynatrace OTEL TDD CI/CD microservices cloud-native API development event-driven systems LLMs AIOps agentic AI automation-first strategies self-healing systems infrastructure-as-code Observability-as-code performance scalability fault tolerance DevOps practices

What you'll do

Design and build agentic AI solutions for observability.
Embed predictive insights and intelligent alerting into platforms.
Develop AIOps frameworks to automate workflows and reduce noise.
Architect end-to-end observability solutions across logs, metrics, traces.
Enhance existing observability platforms with custom integrations and AI.
Build real-time health analytics to ensure system reliability and performance.
Lead development of scalable, reusable platform components for automation.

What we're looking for

5+ years of engineering experience in software, platforms, or automation solutions with a focus on observability and distributed systems.
Hands-on experience building agentic AI systems and designing AI-driven automation and AIOps solutions.
Expertise in observability platforms (Datadog, Dynatrace, OTEL) and cloud-native architectures like Kubernetes.
Strong software development skills using Java/Spring Boot, Python, Node.js, or React for full-stack solutions.
Experience integrating LLMs, orchestration frameworks, and AI pipelines into production systems.
Familiarity with CI/CD pipelines, infrastructure-as-code practices, and DevOps methodologies.

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