Lead Product Engineer – Observability, Enterprise App Monitoring

🕒 Junho 30

🌽 Illinois – Remoto

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💵 $100.000 - $170.500 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

🦅 Patrocina Visto H1B

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Allstate

Allstate

10.000+ funcionários

Fundada em 1931

💼 Consultoria

📦 Logística

🛡️ Seguros

💰 Post-IPO Equity em 2014-01

Consulting • Logistics • Insurance

A Allstate é uma líder do setor na oferta de soluções de seguros, com foco em proteção de residências, automóveis, dispositivos e identidade. Com um compromisso com o bem-estar dos clientes, a Allstate visa proporcionar tranquilidade e segurança financeira para seus clientes. A empresa também enfatiza o impacto comunitário e a sustentabilidade por meio de várias iniciativas, demonstrando sua dedicação à responsabilidade social e à mudança positiva.

Descrição

• Lead design and development of AI-powered Observability platform. • Drive innovation and automation across hybrid and multi-cloud environments. • Architect and implement end-to-end observability solutions across logs, metrics, traces, and events. • Develop AIOps frameworks that reduce noise, automate workflows, and improve incident response times. • Build real-time insights and health analytics to ensure system reliability, scalability, and performance. • Champion standardization, reusable patterns, and platform scalability across the organization. • Communicate technical concepts and strategies effectively to technical and executive audiences.

🎯 Requisitos

• 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.

🏖️ Benefícios

• Comprehensive technology setup including laptop, monitors, headset, keyboard, and mouse. • Monthly connectivity reimbursement to help offset internet costs. • Health insurance • 401(k) matching • Flexible work hours • Paid time off

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