Lead Product Engineer – AIOps for Observability

🕒 June 30

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $100k - $170.5k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 57%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Allstate

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1931

💼 Consulting

📦 Logistics

🛡️ Insurance

💰 Post-IPO Equity on 2014-01

Consulting • Logistics • Insurance

Allstate is an industry leader in providing insurance solutions, focusing on home, auto, device, and identity protection. With a commitment to customer well-being, Allstate aims to instill peace of mind and financial security for its customers. The company also emphasizes community impact and sustainability through various initiatives, showcasing their dedication to social responsibility and positive change.

📋 Description

• Design and build agentic AI solutions for observability, including autonomous agents capable of anomaly detection, root cause analysis, and automated remediation • Embed AI/ML capabilities into observability platforms to enable predictive insights, anomaly detection, and intelligent alerting • Develop AIOps frameworks that reduce noise, automate workflows, and improve incident response times • Leverage LLMs and AI orchestration frameworks to create self-service diagnostics and operational assistants • Architect and implement end-to-end observability solutions across logs, metrics, traces, and events • Enhance observability platforms including Datadog, Dynatrace, New Relic, AppDynamics, and OTEL with custom integrations, automation, and AI enhancements • Build real-time insights and health analytics to ensure system reliability, scalability, and performance • Lead development of scalable, reusable platform components and APIs for observability and automation • Build developer-first tools and frameworks that simplify instrumentation, monitoring, and diagnostics • Apply TDD, CI/CD, microservices, and cloud-native design • Develop full-stack solutions using Java/Spring Boot, Python, Node.js, and React • Drive automation-first strategies to eliminate manual operations and improve efficiency • Build self-healing systems that automatically detect and remediate issues • Lead initiatives in infrastructure-as-code, Observability-as-code, and automated deployment pipelines • Engineer highly resilient systems focused on performance, scalability, and fault tolerance • Define and evolve enterprise observability architecture incorporating AI and automation • Collaborate with architecture, platform, and security teams to align solutions with enterprise standards • Champion standardization, reusable patterns, and platform scalability across the organization • Act as a technical leader and mentor, guiding teams in AI, observability, and engineering best practices • Partner with cross-functional teams to deliver integrated, high-impact platform solutions • Communicate technical concepts and strategies to technical and executive audiences • Foster a culture of innovation, automation, and continuous improvement

🎯 Requirements

• 5+ years of engineering experience building software, platforms, or automation solutions, with a strong emphasis on observability and distributed systems • 4+ years of hands-on experience with observability platforms (Datadog, Dynatrace, 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 (autonomous agents, AI workflows, or AI-native applications) • 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 and cloud-native architectures • Hands-on experience in hybrid environments (on-prem + cloud) across Linux and Windows • Expertise in API development, event-driven systems, and microservices architecture • Familiarity with CI/CD pipelines, infrastructure-as-code, and DevOps practices • Strong problem-solving skills with a focus on automation and innovation • Excellent communication skills to articulate complex technical solutions • Passion for emerging technologies, particularly AI in observability and operations • Background investigation required • Allstate generally does not sponsor individuals for employment-based visas for this position • Dedicated, private workspace free from distractions when working from home • Reliable internet with minimum speeds of 50 MB download and 5 MB upload

🏖️ Benefits

• Comprehensive technology setup including a laptop, monitors, headset, keyboard, and mouse • Monthly connectivity reimbursement for employees eligible to work from home