We're seeking a future team member for the role of Vice President, Full-Stack Software Engineer to join our Wealth Management Technology organization. This is a senior individual contributor role for a highly experienced engineer who will spend the majority of their time designing, coding, testing, and supporting enterprise software.
The successful candidate will combine deep hands-on engineering expertise with the ability to drive standards, coordinate technical dependencies, and deliver complex capabilities across a pod. The role partners closely with engineers, product managers, architects, quality engineers, DevOps teams, and business stakeholders to build reliable, secure, scalable, and maintainable Wealth Management solutions.
In this role, you'll make an impact in the following ways
Design, develop, test, deploy, and support enterprise-scale full-stack applications using Java, Spring Boot, Angular, TypeScript, and related technologies.
Build scalable, secure, and performant backend services, RESTful APIs, and integration components within a distributed microservices environment.
Develop and enhance modern Angular applications using TypeScript, RxJS, state management patterns, reusable components, and micro-frontend approaches where appropriate.
Use Unix / Python scripts to build services, automation, integrations, data-processing utilities, developer tooling, and AI-enabled capabilities that improve business and engineering outcomes.
Contribute directly to application architecture, API design, data flows, integration patterns, and technical implementation decisions.
Develop reusable libraries, shared services, frameworks, and engineering patterns that improve consistency, maintainability, and delivery velocity across the pod.
Drive adherence to coding standards, secure development practices, automated testing, code quality controls, and software development lifecycle requirements.
Perform code reviews, troubleshoot complex defects, optimize application performance, and resolve production issues with a focus on long-term corrective action.
Collaborate with DevOps and platform engineering teams to improve CI/CD pipelines, deployment automation, observability, logging, monitoring, and operational resilience.
Translate Wealth Management business requirements into well-designed, testable, and supportable software solutions in partnership with product managers, analysts, and quality engineers.
Apply AI-assisted development tools and modern engineering practices to accelerate coding, testing, documentation, analysis, and delivery while maintaining appropriate quality and control standards.
Mentor engineers through code reviews, technical guidance, pairing, design discussions, and knowledge sharing while remaining primarily focused on hands-on delivery.
To be successful in this role, we're seeking the following
Bachelor's degree in computer science, Engineering, Information Systems, or a related discipline, or equivalent practical experience.
Strong hands-on experience with Java, Spring Boot, RESTful APIs, object-oriented design, and microservices architecture.
Hands-on experience developing production-grade solutions using Python, including services, automation, integrations, or data-processing capabilities.
Strong experience building modern web applications using Angular, TypeScript, RxJS, HTML, CSS, and contemporary frontend engineering practices.
Experience designing and consuming APIs in distributed environments, with an emphasis on reliability, security, maintainability, performance, and testability.
Experience with relational databases such as Oracle, including SQL, data modeling, transaction handling, and performance considerations.
Experience with Git-based source control, CI/CD pipelines, automated testing, code quality tooling, and secure software development practices.
Strong understanding of Agile delivery, the software development lifecycle, production support, and engineering controls in a large enterprise environment.
Demonstrated ability to work independently, deliver high-quality code, influence technical decisions, and coordinate dependencies across teams.
Must-have technical experience
Experience supporting Wealth Management, Brokerage, Investment, or broader Financial Services platforms.
Experience with Kubernetes, OpenShift, Docker, cloud-native development, and containerized deployments.
Experience with observability and diagnostic tooling, including structured logging, metrics, tracing, and platforms such as Splunk, ELK, Prometheus, or Grafana.
Experience using AI-assisted engineering tools such as Windsurf, GitHub Copilot, Claude Code, Cursor, or similar tools.
A successful candidate will be a builder first. This individual consistently delivers production-quality code, improves the engineering practices around the codebase, and helps the pod execute complex work with fewer surprises. The role does not have direct reports, but it is expected to lead through technical judgment, dependable execution, constructive influence, and a willingness to solve difficult problems directly.
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