Lead Product Engineer – (Agentic AI for Observability) - Remote
Core
Lead the design and development of next-generation observability solutions powered by agentic AI, enabling proactive detection, diagnosis, and remediation of issues across hybrid and multi-cloud environments.
Role type
Lead Product Engineer (Agentic AI for Observability)
Builds
Scalable observability platforms, intelligent automation frameworks, and developer-centric tooling for enterprise applications.
Domain
Insurance technology, Cloud-native observability, Artificial Intelligence (Agentic AI/AIOps)
Deliverable
production ML models | product features | infrastructure
Required skills
Agentic AI system design, Observability platforms (Datadog, Dynatrace, OTEL), Java/Spring Boot, Python, Node.js, React, Kubernetes, Cloud-native architecture, API development, Event-driven systems, Microservices, CI/CD, Infrastructure-as-code, LLM integration, Autonomous agent development, Anomaly detection, Root cause analysis, Automated remediation, Full-stack development, TDD, CI/CD pipelines, Linux/Windows hybrid environments
Preferred skills
Experience with AppDynamics, New Relic, Datadog, Dynatrace, OTEL, LLM orchestration frameworks, AIOps frameworks, Real-time health analytics, Self-healing systems, Enterprise architecture design, Technical mentorship, Cross-functional collaboration
Technologies
Java, Spring Boot, Python, Node.js, React, Kubernetes, Datadog, Dynatrace, New Relic, AppDynamics, OTEL, LLMs, Microservices, Linux, Windows, CI/CD, Infrastructure-as-code
Responsibilities
Design and build agentic AI solutions for observability including autonomous agents for anomaly detection and automated remediation; Embed AI/ML capabilities into observability platforms for predictive insights and intelligent alerting; Develop AIOps frameworks to reduce noise and improve incident response times; Architect and implement end-to-end observability solutions across logs, metrics, traces, and events; Enhance observability platforms with custom integrations, automation, and AI enhancements; Build real-time insights and health analytics to ensure system reliability and performance; Lead development of scalable, reusable platform components and APIs; Build developer-first tools and frameworks that simplify instrumentation and diagnostics; Apply modern software engineering practices including TDD, CI/CD, and cloud-native design; Drive automation-first strategies to eliminate manual operations; Build self-healing systems that automatically detect and remediate issues; 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; 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.
Seniority
Lead, hands-on IC with strategic influence
