Lead Product Engineer, AIOps for Observability

Allstate

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
IL
Salary
$100,000–$170,500 / yr
Employment
Full-time
Posted
21 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $188k
This role $135k
$84k $246k
below market most similar roles pay here above market

This role pays less than 90% of similar roles. Most pay $160,000–$215,312 — the blue band above. At the midpoint, this role pays about $135k versus about $188k 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 52 open roles on FindRole.

Listed pay typically runs $100,000–$170,500 across 51 roles with salary data.

Most-posted roles

View all roles at Allstate

At a glance

TL;DR · Lead Product Engineer, AIOps for Observability

The Lead Product Engineer – (AIOps for Observability) joins the team to drive innovation in an AI-powered Observability platform. This role focuses on building next-generation solutions powered by agentic AI to enable proactive detection, diagnosis, and automated remediation across hybrid and multi-cloud environments. You will design and develop scalable platforms, intelligent automation, and developer-centric tooling to enhance reliability and operational efficiency. Key responsibilities include building autonomous agents for anomaly detection, integrating LLMs into production systems, and architecting end-to-end solutions for logs, metrics, and traces. You will utilize Java/Spring Boot, Python, Node.js, and React alongside tools like Datadog, Dynatrace, New Relic, AppDynamics, and OTEL. The work involves creating self-healing systems and AIOps frameworks to transform how applications and platforms are operated across the enterprise.

What you'll do

  • Design and build agentic AI solutions for autonomous anomaly detection, root cause analysis, and automated remediation.
  • Integrate LLMs and AI orchestration frameworks to create self-service diagnostics and intelligent alerting systems.
  • Architect end-to-end observability solutions across logs, metrics, traces, and events in hybrid and multi-cloud environments.
  • Enhance existing observability platforms like Datadog, Dynatrace, and New Relic with custom integrations and AI capabilities.
  • Develop full-stack tools and APIs using Java, Python, or Node.js to simplify instrumentation and monitoring for developers.
  • Build self-healing systems that automatically detect and resolve infrastructure issues to improve operational efficiency.
  • Implement infrastructure-as-code and automated deployment pipelines to ensure system reliability and scalability.
  • Define enterprise observability architecture while mentoring teams on AI and engineering best practices.

What we're looking for

  • 5+ years of experience building software, platforms, or automation solutions with a focus on observability and distributed systems.
  • 4+ years of hands-on experience with observability platforms such as Datadog, Dynatrace, or OTEL.
  • 3+ years of software development experience using Java (Spring Boot), Python, Node.js, or React.
  • 2+ years of hands-on experience building agentic AI systems, including autonomous agents and AI workflows.
  • Proven ability to design and implement AI-driven automation and AIOps solutions.
  • Experience integrating LLMs, orchestration frameworks, or AI pipelines into production systems.
  • Strong experience with Kubernetes, cloud-native architectures, and hybrid environments (on-prem and cloud).
  • Expertise in API development, event-driven systems, microservices, and CI/CD pipelines.

More like this

Similar roles

Lead Software Engineer, Enterprise Observability

Humana

Remote (Louisville, KY) +4 11 days ago $129,300–$177,800
open telemetry Splunk Splunk Cloud Enterprise AI ML CI/CD infrastructure-as-code IaC Distributed Systems Logging Observability Automation Networking Operating Systems Dynatrace SNOW SOAR
7+ yrs exp Remote

Senior AI Software Engineer

Allstate

Remote (MN) 14 days ago $90,700–$153,925
Python Java Spring Boot Node.js FastAPI Generative AI LLMs LangChain RAG Agentic AI Microsoft Azure AWS Kubernetes Docker CI/CD MLOps MongoDB DocumentDB SQL Server Kafka React Angular RESTful APIs Microservices Prompt Engineering Vector Databases
Remote

Senior Engineering Manager, Observability

Cloudflare, Inc

Austin, TX +3 41 days ago $220,000–$303,000
Observability OTLP OLAP Clickhouse Grafana Elasticsearch Kibana Cloud Infrastructure Proxy Systems APIs SLOs Incident Response Data-driven Applications
8+ yrs exp Hybrid

Senior MLOps Engineer

Kohl's

Remote 33 days ago
MLOps Python Google Cloud Platform Vertex AI Kubernetes Docker CI/CD TensorFlow PyTorch scikit-learn Spark Kubeflow Airflow SQL BigQuery Dataproc Git IaC Java Gurobi
3+ yrs exp Remote