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