Manager - Software Engineering • Clinical & Revenue Cycle Applications

Role Summary Lead the strategy, architecture, engineering delivery, and adoption of Providence's Observability and Operational Intelligence Platform (iTelemetry) . This role combines people leadership, platform engineering, product ownership, observability expertise, and AI-powered operations to build scalable solutions that transform telemetry into operational intelligence, automation, and proactive incident prevention.

Key Responsibilities

• Lead and grow a high-performing engineering team.
• Own platform strategy, roadmap, architecture, and delivery.
• Partner with Product, Architecture, Operations, and Reliability Engineering teams to drive platform adoption and business outcomes.
• Build cloud-native solutions using React, TypeScript, APIs, Microservices, Azure, and Kubernetes.
• Lead development of telemetry ingestion, correlation, analytics to build clinical and operational intelligence capabilities.
• Drive AIOps capabilities including event correlation, anomaly detection, predictive analytics, automated root cause analysis, self-healing, and self-validation.
• Establish engineering best practices for scalability, reliability, security, automation, and quality.
• Evaluate emerging technologies and translate business needs into platform capabilities.

Qualifications

• 10-12+ years of software engineering experience with 5+ years in engineering leadership.
• Experience owning platform strategy, architecture, product direction, and engineering execution.
• Strong expertise in React, TypeScript, JavaScript, and .NET, Java, Node.js, or Python.
• Experience building cloud-native distributed systems, microservices, Kubernetes, and Azure-based platforms.
• Strong understanding of Observability, AIOps, Site Reliability Engineering, and Clinical and Operational Intelligence.
• Experience building telemetry-driven platforms supporting real-time operational insights and automation.
• Strong exposure and experience in AI/ML, agentic workflows, intelligent incident management, predictive analytics, and autonomous operations.
• Strong stakeholder management, communication, and product mindset.

Ideal Candidate A technology leader who combines engineering excellence, product thinking, observability expertise, clinical and operational intelligence, and AI-driven automation to build enterprise-scale platforms that improve reliability, reduce operational toil, prevent disruptions, and enable autonomous operation