Location: Hybrid – New York, NY
Work arrangement: Hybrid
Work type: Full-time
Compensation: DOE
A US bank is seeking a Senior Vice President, Full-Stack Engineering Lead to own the technical direction, delivery, and operational health of the Wove Trading & Rebalancing platform.
Location: Hybrid – New York, NY
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, including 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 the bank'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
Compensation: DOE