DevOps Engineer, Observability

Job not on LinkedIn

🕒 June 25

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

⛑ DevOps & Site Reliability Engineer (SRE)

🦅 H1B Visa Sponsor

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Logo of Quantiphi

Quantiphi

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

📚 Education

💰 Series A on 2019-12

Artificial Intelligence • Enterprise • Education

Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.

📋 Description

• Lead the design and implementation of our next-generation, unified observability platform. • Focus on architecting a sophisticated observability pipeline leveraging a modern, open-source-centric stack on AWS. • Be responsible for deploying, configuring, and integrating a suite of tools including Prometheus, Grafana, and Splunk.

🎯 Requirements

• 8+ years of experience in DevOps/Observability • Proven ability to design and implement end-to-end observability pipelines using OpenTelemetry, Prometheus, and Grafana • Deep expertise in centralizing AWS telemetry, including multi-account CloudTrail organization trails and cross-account CloudWatch metrics/logs • Strong experience designing log aggregation strategies and configuring Splunk HTTP Event Collector (HEC) integrations • Hands-on experience building comprehensive alerting frameworks using Alertmanager and CloudWatch Alarms • Advanced proficiency in writing Terraform modules • Experience deploying Prometheus and OTel within Kubernetes (EKS) or containerized (ECS) environments.

🏖️ Benefits

• Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale. • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges. • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents. • Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling. • Ample opportunities to learn, grow and interact with colleagues from varied experience and backgrounds around the globe.

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