Director of Software Engineering

What is Solstice Analytics ? Solstice Analytics is a leading provider of clinical communication and physician scheduling solutions in the health IT space. The company was founded in 1997 and has grown steadily since then, with a notable jump after several major acquisitions were announced in 2019. Solstice Analytics now has 400+ employees, 30,000+ customers — spanning medical practices, hospitals, and health systems — and $100 million+ in annual revenue. Solstice Analytics ’s mission is to accelerate speed to care by optimizing provider schedules and routing communications — including messages, pages, calls, and alerts — to the right place at the right time in any care setting. By facilitating real-time information sharing, building better schedules, and automating important clinical workflows, we believe we can help our customers advance patient care and improve the well-being of their clinicians. Leading analyst firms like Gartner® and KLAS Research have consistently validated our approach: In 2026, Solstice Analytics was named highest in execution and furthest in vision in the Gartner Magic Quadrant™ for Clinical Communication and Collaboration — the clear segment leader. Solstice Analytics also received two Best in KLAS awards in 2026 — one for physician scheduling and another for ambulatory clinical communications. That makes for 11 Best in KLAS awards over the past 9 years. At Solstice Analytics , you'll have a unique opportunity to join a collaborative team with decades of experience that finds new ways to delight our customers every day. This involves consistent efforts to stay on the cutting edge of product development, which includes everything from implementing AI in new and existing solutions to brainstorming with customers about novel workflows. But you don't have to be in product to make in impact — everybody at Solstice Analytics contributes to important work that moves the business forward. If you're looking for a well-established, tech-forward company full of smart people doing meaningful work, you've found the right place! Solstice Analytics is seeking a Director of Software Engineering to own the architecture, development, and continuous evolution of our AI-native answering service platform. This is a hands-on leadership role — you will set technical direction, make architectural decisions, write and review production code on critical systems, and build the engineering team as the platform scales. Reporting directly to the CTO, you will be a key technical voice in shaping how AI is applied across Solstice Analytics 's clinical communication and contact center products. This role suits a senior engineer who leads by doing: someone equally comfortable whiteboarding a distributed system architecture, diving into a failing inference pipeline, mentoring an early-career engineer, and holding an external development partner accountable to quality standards. Core Responsibilities AI-Native Platform Architecture & Ownership Own the end-to-end technical architecture of the AI answering service, including voice pipeline design, LLM orchestration, API integration layers, and real-time telephony infrastructure. Define and enforce architectural patterns for AI system reliability, latency management, failure recovery, and scalability across production environments. Make build-vs-buy-vs-integrate decisions for new AI capabilities; evaluate third-party models, frameworks, and platforms with a critical engineering eye. Establish and maintain technical documentation standards across all AI components, ensuring accuracy is kept current as systems evolve. Hands-On Engineering Contribution Actively participate in design reviews, code reviews, and technical spike work — especially for high-risk or high-complexity components. Lead the implementation of core platform components where needed, including AI service integrations, orchestration logic, and platform APIs. Diagnose and resolve complex production issues including inference latency, integration regressions, and telephony quality problems. Prototype and validate new AI capabilities before committing to full implementation cycles. Team Leadership & Development Build and lead a high-performing engineering team as headcount grows; initially operate as both a technical lead and individual contributor. Hire, onboard, and develop engineers with a focus on AI/ML fluency, software craftsmanship, and a bias toward continuous improvement. Foster a culture of psychological safety, technical rigor, and iterative delivery — where engineers learn from failure as readily as from success. Conduct regular 1:1s, provide candid performance feedback, and create individualized growth plans for direct reports. External Partner & Vendor Management Serve as the primary engineering accountability owner for outsourced development partners as required; setting quality standards, reviewing deliverables, and managing the integration of external work into production systems. Evaluate third-party AI platforms, cloud services, and tooling; make an