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Expert Automation & Observability Engineer

Ensono · Flexible / Remote

Publicada em 18/09/2026

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At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose:Honesty, Reliability, Curiosity, Collaboration, and Passion.About the role and what you'll be doing: We are seeking an Expert Observability Engineer to serve as the strategic technical lead and architect for our enterprise Observability, APM, and Telemetry ecosystems. You will lead the transformation from decentralized, reactive monitoring to a unified, automated, and proactive observability framework. Operating across hybrid cloud, Kubernetes, and legacy environments, you will design scalable architectures, drive Site Reliability Engineering (SRE) practices, and lead First-of-a-Kind (FOAK) technology implementations to ensure maximum service reliability.We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply. Core Responsibilities1. Enterprise Architecture & StrategyArchitect and govern a unified observability framework covering metrics, logs, traces, and events using IBM Instana, Grafana, OpenTelemetry, Telegraf, and InfluxDB.Lead First-of-a-Kind (FOAK) implementations-evaluating new observability tech and converting them into secure, repeatable, production-ready patterns.Define enterprise standards for telemetry pipelines, data retention,
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