Vice President, Full-Stack Engineer

We are looking for a 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).

- 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-personal, 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 microfrontends, NestJS services, Spring Boot microservices, Kafka consumers/producers, Hazelcast distributed caching, and the DataLake API persistence layer.

- 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.

- 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.

- 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.

- 5-9 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.

- 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 coaching (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.