Senior Vice President, Full-Stack Engineer

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.