Senior Vice President, Full-Stack Engineer

Description We are looking for a Senior Vice President, Full-Stack Engineering Lead in New York City to own the technical direction, delivery, and operational health of the Wove Trading & Rebalancing platform. This is a hands-on leadership role. You will write code, review architecture, lead incident response, and mentor engineers, while also driving the strategic roadmap with Product and Business stakeholders. You will be responsible for a platform that must be correct (it moves money), resilient (market hours are non-negotiable), and scalable (the client base is growing rapidly across multiple wealth management firms). Architecture & System Design • Own the technical roadmap for the Trading & Rebalancing platform — from rebalancing compute engines and order generation pipelines to advisor-facing trading dashboards. • Design and evolve a multi-persona, multi-custodian entitlements architecture that supports advisors, home office users, portfolio managers, and asset managers — each with distinct data hierarchies, trading discretions, and custody constraints. • Drive the "One BFF" initiative: consolidating functional and data entitlements resolution into a unified NestJS GraphQL middleware layer using strategy patterns, guard chains, and per-persona data scoping. • Make architecture decisions across the full stack — Angular micro frontends, NestJS services, Spring Boot microservices, Kafka consumers/producers, Hazelcast distributed caching, and the DataLake API persistence layer. Full-Stack Engineering • Build and maintain high-performance backend services in Java 21 / Spring Boot 3.x — order generation engines, rebalancing workflows, allocation services, validation engines, custodian rules engines, and trade automation pipelines. • Develop and extend Angular microfrontends using Module Federation — trading worksheets, order review screens, overview dashboards, trading rules configuration, tax harvesting, sleeve allocation, and custom rebalance UIs. • Design and operate a NestJS GraphQL BFF that resolves entitlements from EMS and Admin Center, orchestrates downstream service calls, and delivers persona-aware data to the frontend. • Implement secure service-to-service communication using mTLS certificates , OAuth2/JWT , and Kerberos authentication — all integrated with BNY's API Gateway and marketplace token exchange. Trading & Rebalancing Domain • Deliver capabilities for portfolio rebalancing workflows, model management, proposed order generation, order review, and order submission — supporting equities, fixed income, and multi-asset sleeve strategies. • Build systems that handle multi-custodian complexity: Pershing, Schwab, and bank custody — including cross-hierarchy custodian bindings where different firms route through different custodians. • Implement per-client trading discretion configuration (e.g., one firm can trade true UMA while another is restricted to SMA/URPM only). • Ensure platform compliance with regulatory, audit, and risk requirements in a financial services environment. AI-Enabled Engineering • Champion AI-assisted development across the SDLC — design, coding, testing, code review, documentation, and production support. • Drive engineering productivity through AI-powered tools for automated test generation, release impact analysis, and incident root cause identification. • Lead adoption of agentic AI workflows that integrate with the team's existing CI/CD, SonarQube quality gates, and GitLab pipelines. Operational Excellence • Own production readiness across the service catalog — availability, resiliency, observability (Splunk, Dynatrace), and platform health. • Lead major incident resolution and root cause analysis. Market-hours downtime is not acceptable. • Reduce operational burden through automation, intelligent monitoring, and self-healing patterns. • Drive continuous improvement in deployment frequency, change failure rate, and mean time to recovery. People Leadership • Lead and mentor engineers across frontend, backend, BFF, and platform disciplines. • Foster a culture of ownership, engineering excellence, and continuous learning. • Support hiring, talent development, and organizational growth. Required Qualifications • 10+ years of software engineering experience, with significant time designing and delivering distributed systems in financial services. • Deep hands-on expertise in at least two of the following, with working knowledge of all: • Java 17+ / Spring Boot 3.x — microservices, virtual threads, security filter chains • Angular 15+ — component architecture, signals, Module Federation / microfrontends • NestJS / TypeScript — GraphQL resolvers, guards, interceptors, strategy patterns • Strong experience with event-driven architectures — Kafka producers/consumers, async messaging, dead-letter queues, idempotent processing. • Experience with NoSQL persistence (MongoDB or document stores) — data modeling, query optimization, API-mediated access patterns. • Solid understanding of authentication and authorization in enterprise environments — OAuth2, JWT, mTLS, Kerberos, entitlements systems. • Experience building multi-tenant or multi-persona platforms where different user types see different data, have different permissions, and follow different workflows. • Proven track record of leading Agile engineering teams and delivering in a CI/CD environment with automated quality gates (SonarQube, security scanning). • Strong communication, collaboration, and stakeholder management skills. • Bachelor's degree in Computer Science, Engineering, or equivalent professional experience. Preferred Qualifications • Experience with wealth management, trading, or portfolio management platforms — rebalancing, order management, custody, or investment advisory systems. • Experience modernizing monolithic applications into microservices using the Strangler pattern. • Familiarity with distributed caching (Hazelcast, Redis) and real-time data patterns (WebSockets, SSE). • Experience with observability platforms — Splunk, Dynatrace, AppDynamics, or OpenTelemetry. • Experience implementing AI-assisted software development practices and engineering automation. • Knowledge of cloud platforms, container orchestration, and infrastructure-as-code. • Experience managing geographically distributed teams. • Series 7 / Series 63 or CFA/CAIA is a plus but not required. • Advanced degree in Computer Science, Engineering, Finance, or a related field.