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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Product Engineer - (AIOps for Observability) - Remote - **Company:** Allstate Corporation - **Location:** Illinois City, IL, United States (Remote available) - **Experience:** Expert - **Salary:** $100,000.0 - $170,500.0 - **Contract:** Permanent contract - **Skills:** C (Programming Language), Java (Programming Language), Computer-Aided Design, Microsoft Windows, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Cloud Computing, Cloud Engineering, Continuous Integration, Linux, DevOps, Distributed Systems, Fault Tolerance, HP Systems Insight Manager, Python (Programming Language), Machine Learning, Node.Js, Software Construction, Software Engineering, Systems Integration, Datadog, Test-Driven Development (TDD), ReactJS, Large Language Models, Multi-Agent Systems, Spring-boot, Reliability of Systems, Backend, Event Driven Architecture, Build Management, Kubernetes, Deployment Automation, Enterprise Integration, Machine Learning Operations, Virtual Agents, Api Design, New Relic (SaaS), Appdynamics, Dynatrace, Automation Anywhere, Microservices - **Published:** September 10, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2962762974-2 ## About the Role * 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., Agentic AI, Agentic AI, Agile Methodology, AI Agents, AI Ops, Anomaly Detection, API Development, AppDynamics, Application Monitoring, Application Programming Interface (API), Automation, Automation Solutions, Back-End Development, Building Architecture, Business, Business Direction, Business Objectives, Business Operations, Business Processes, Business Software, C (Programming Language), Cloud Infrastructure, Cloud Native, Collaboration, Collaborative Development {+ 65 more} ## Description Allstate is seeking a forward-thinking Lead Product Engineer to drive innovation in its AI-powered Observability platform. This role sits at the intersection of AI engineering, observability, and software development, with a strong focus on automation, intelligent insights, and self-healing systems across hybrid and multi-cloud environments. You will lead the design and development of next-generation observability solutions powered by agentic AI, enabling proactive detection, diagnosis, and remediation of issues. This role emphasizes building scalable platforms, intelligent automation, and developer-centric tooling that enhance reliability, performance, and operational efficiency. As a technical leader, you will shape product strategy, drive engineering excellence, and deliver AI-driven monitoring and automation capabilities that transform how applications and platforms are operated across the enterprise. Key Responsibilities AI & Intelligent Automation * 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 (Datadog, Dynatrace, New Relic, AppDynamics, 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 modern software engineering practices including TDD, CI/CD, microservices, and cloud-native design. * Develop full-stack solutions (backend services, dashboards, automation tooling) 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 by focusing on performance, scalability, and fault tolerance. * Define and evolve enterprise observability architecture, incorporating AI and automation as core principles. * 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 effectively to both technical and executive audiences. * Foster a culture of innovation, automation, and continuous improvement.