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.

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