DevOps/Observability Engineer

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!About Quantiphi:Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients.Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters.We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:3 AWS AI/ML Partner of the Year awards3 NVIDIA Partner of the Year awards3 Snowflake Partner of the Year awardsRated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firmsQuantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture.For more details, visit: Website or LinkedIn PageRole: DevOps/Observability EngineerExperience Level: 8+ yearsEmployment type: Full TimeLocation: Remote - USAWhat you will do:We are seeking a highly experienced Senior DevOps/Observability Engineer with over 8 years of experience to lead the design and implementation of our next-generation, unified observability platform. This pivotal role will focus on architecting a sophisticated observability pipeline from the ground up, leveraging a modern, open-source-centric stack on Amazon Web Services (AWS). The ideal candidate will have deep expertise in designing and deploying observability solutions, with a strong emphasis on OpenTelemetry (OTel) and Kubernetes observability. You will be responsible for deploying, configuring, and integrating a suite of tools including Prometheus, Grafana, and Splunk to provide comprehensive insights into our complex, distributed systems. This is a hands-on role for a technical leader who is passionate about building scalable, reliable, and efficient monitoring and logging systemsBasic Qualifications (BQs):Unified Pipeline Architecture: Proven ability to design and implement end-to-end observability pipelines using OpenTelemetry, Prometheus, and Grafana on centralized infrastructure.Cross-Account AWS Observability: Deep expertise in centralizing AWS telemetry, including multi-account CloudTrail organization trails, cross-account CloudWatch metrics/logs, and VPC Flow Logs.Log Aggregation & Routing: Strong experience designing log aggregation strategies, implementing noise reduction/filtering at the collector level, and configuring Splunk Event Collector (HEC) integrations.Advanced Alerting & Dashboarding: Hands-on experience building comprehensive alerting frameworks using Alertmanager and CloudWatch Alarms, coupled with advanced dashboard engineering in Grafana (using PromQL).Infrastructure as Code (IaC): Advanced proficiency in writing Terraform modules specifically for deploying and managing observability stacks and EC2 infrastructure.Other Qualifications (OQs):Enterprise Scale Log Management: Demonstrated experience managing, routing, and optimizing log pipelines at massive scale (TB/day).Kubernetes/Container Observability: Experience deploying Prometheus and OTel within Kubernetes (EKS) or containerized (ECS) environments.Cost Optimization: Proven track record of reducing observability spend through strategic metric dropping, log filtering, and efficient storage tiering.What is in it for you: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.If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! #J-18808-Ljbffr