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Popular senior engineering title plus known healthcare brand, but niche observability focus limits applicant pool.
Platform and observability skills transferable, but healthcare and AIOps specialization increases domain sensitivity.
Explicit 10+ years plus mandatory observability, cloud, full-stack, and platform architecture expertise.
Own and drive the technical product vision, platform architecture, and technology strategy for a cloud-native Observability and Operational Intelligence Platform.
Lead architecture, design, and development of scalable, resilient, and highly available enterprise solutions including backend services, APIs, telemetry pipelines, and frontend user experiences using React and TypeScript.
Define platform standards, evaluate emerging technologies, drive innovation in Monitoring, Observability, AIOps and Operational Analytics, and mentor engineering teams to establish excellence in reliability, performance, security, and scalability.
10+ years of software engineering experience with strong full-stack development expertise.
Expertise in React, TypeScript, JavaScript, HTML/CSS for frontend and backend experience with .NET, Java, Node.js, or Python.
Experience designing enterprise-scale cloud-native architectures, microservices, distributed systems, and telemetry processing pipelines.
Strong familiarity with Azure (preferred), AWS or GCP, Kubernetes, CI/CD, DevOps, Infrastructure as Code, and modern platform engineering practices.
Proven track record of owning technical product direction and platform architecture for enterprise-scale software platforms, preferably in Observability, AIOps, or Operational Intelligence domains.
Experience building and scaling intelligent platforms combining telemetry, AI/ML, automation, and operational workflows at scale.
Strong product mindset focused on innovation, customer value, and engineering excellence with deep knowledge of observability concepts and tools (e.g. Datadog, New Relic, OpenTelemetry).