Engineering Team Lead, Appointment Scheduling

About the Role Engageware powers appointment scheduling for some of the largest banks, credit unions, healthcare systems, and retailers in the world — on the order of a million appointments and interactions a day. When someone books time with their bank or schedules a visit with their care team, our platform finds the right availability, the right person, and the right place, and makes it effortless: online, in the branch, at the kiosk, in the walk-in queue, or virtually, with reminders and routing handled end to end. We're looking for a hands-on Team Lead to own how the Appointment Scheduling team runs — the process, planning, and delivery — and to drive its technical direction. You'll grow the engineers around you, keep the team healthy and shipping, and carry our platform into the AI age: an AI-augmented development lifecycle where agents do real work across design, code, test, and review, and a product where booking is conversational, availability is intelligent, and every answer is grounded in real, verified data. What You'll Do Team & Delivery Leadership - Own the team's planning, prioritization, and delivery — the process and the day-to-day execution — ensuring the Appointment Scheduling team ships reliably at enterprise scale. - Grow and coach engineers at all levels (including senior and principal ICs); keep the team engaged, healthy, and improving. - Partner closely with the Principal Engineer to translate the hardest architectural decisions into reliable, shipped product. - Collaborate with Product and Design so that what ships solves the customer's actual problem, not just the technical one. Technical Direction - Own the overall technical direction for your area of the scheduling platform: the availability and booking engine, routing and reminders, and the online/branch/kiosk/queue/virtual channel experiences built on top. - Make the mature, business-critical scheduling core safer and faster to change — through pragmatic modernization, improved test coverage, and cleaner API surfaces — without big-bang rewrites. - Shape and evolve the platform's data architecture (SQL Server, PostgreSQL) and service boundaries (Spring Boot, Scala/Akka) to support scale and AI extensibility. - Maintain Engageware's reliability bar: the scheduling platform cannot let a customer down. AI-Augmented Development Lifecycle - Lead the team's adoption of an AI-augmented SDLC — putting AI agents (built on Claude) to work across design, code generation, test authoring, code review, and legacy modernization. - Set the team's norms and guardrails for AI-assisted development, with a strong test and CI/CD backbone ensuring AI-generated changes ship fast and safely. - Stay current on agentic development patterns (including MCP-based tooling) and raise the team's fluency over time. AI in the Product - Bring intelligent capabilities into the Appointment Scheduling product where they earn their place: conversational and assisted booking, smarter availability recommendations, reduced no-show rates, and proactive engagement. - Ensure all AI-driven features are grounded in real, verified availability data — never hallucinated — and are evaluated honestly against clear success metrics. - Partner with the Principal PM to align AI product bets with customer value and the broader scheduling roadmap. What We're Looking For Must-have qualifications: - A track record of leading an engineering team to deliver: owning process, planning, and outcomes, while staying technically hands-on. You've shipped product, not just run a team. - Depth in the Appointment Scheduling tech stack: JVM backend (Java / Spring Boot, Java 17) and modern TypeScript front ends (React and/or Angular), with comfort in high-throughput services and the relational data behind them. - Experience modernizing large, mature, business-critical systems — making them safer and faster to change without disrupting the business. - Fluency with AI coding agents and AI-augmented development; ideally you've helped a team adopt AI across the SDLC, and you've shipped real LLM/AI features into production with clear-eyed judgment about where AI helps and where it doesn't. - Genuine product sense: you care about the booking experience the customer feels, not only the architecture behind it. - Based in the United States, with willingness to travel occasionally for team and customer meetings. Nice to Have - Prior experience with scheduling, calendaring, availability modeling, or resource-optimization problems. - SQL and relational data depth; API design and integration experience at enterprise scale. - Background in financial services, banking, credit unions, healthcare, or retail technology. - Experience exposing platform capabilities to AI agents via MCP or similar patterns. Our Stack Knowing our stack is not a requirement, but this is what you'll be working with: - Backend: Mature Java scheduling engine; Spring Boot (Java 17) services; Scala/Akka services - Frontend: Modern Angular and React applications - Data: SQL Server and PostgreSQL - Infrastructure: Kubernetes on AWS - AI: Claude models (Anthropic), with MCP-based agent tooling Originally posted on Himalayas