Senior Full Stack Developer - Portfolio Management System

Senior Full Stack Developer - Portfolio Management System

Project description

We are seeking an experienced Software Developer to help modernize a mission-critical Portfolio Management System (PMS) used by investment professionals across front-office investment functions. The successful candidate will play a key role in transforming a mature WPF-based desktop platform into a modern, scalable, high-performance application ecosystem. The work includes UI modernization, platform upgrades, API development, performance optimization, architecture simplification, technical debt reduction, and AI-enabled user experiences. This role is well suited to an engineer with experience in buy-side portfolio, order, execution, risk, or investment analytics platforms who is comfortable working across desktop, web, service, integration, and data layers.

Responsibilities

Key Responsibilities

• Application Modernization
• Upgrade and modernize existing .NET, WPF, and DevExpress applications.
• Refactor legacy components, reduce technical debt, and improve maintainability.
• Improve the application user experience while preserving critical front-office workflows.
• Contribute to target architecture decisions and phased modernization plans.
• Performance Engineering
• Investigate and resolve application freezing, slow response times, memory leaks, and crashes.
• Profile and optimize desktop, server-side, database, and integration components.
• Improve data loading, caching, processing, and resource-management patterns.
• Implement appropriate diagnostics, logging, health monitoring, and performance measures.
• Architecture Simplification
• Reduce reliance on legacy SOA, middleware, and tightly coupled dependencies.
• Design simpler service-oriented and API-first components.
• Support migration toward modular, scalable, and supportable architecture patterns.
• Assess MongoDB dependencies and recommend pragmatic simplification or replacement approaches.
• API and Integration Development
• Design and build secure RESTful APIs for PMS data access.
• Develop integrations with trading, risk, reporting, analytics, and downstream systems.
• Implement authentication, authorization, validation, auditing, observability, and error handling.
• Produce clear API specifications and technical documentation.
• AI Enablement
• Build an AI-powered prompt/chat experience within the PMS.
• Integrate enterprise Large Language Models and approved AI services.
• Develop prompt orchestration, tool-calling, retrieval, guardrails, and workflow automation capabilities.
• Partner with investment users to identify and deliver high-value, controlled AI use cases.
• Web and Desktop Delivery
• Maintain and enhance rich desktop capabilities while introducing web-based applications where appropriate.
• Deliver across frontend, backend, service, integration, and data layers.
• Apply automated testing, code review, secure development, and CI/CD practices.

Skills

• Must have

• 10+ years of professional software engineering experience delivering enterprise applications.

• Strong C# and .NET experience, including legacy .NET Framework and modern .NET versions.

• Deep experience with WPF, XAML, MVVM, desktop application architecture, and multithreading.

• Buy-side investment technology experience, particularly in one or more of the following areas: Portfolio Management Systems (PMS), Order Management Systems (OMS), Execution Management Systems (EMS), Front-office trading applications, Fixed income, equities, FX, derivatives, swaps, options, TRS, or CDS workflows

• Hands-on DevExpress experience, including complex grids and performance-sensitive user interfaces.

• Experience designing and implementing RESTful APIs using ASP.NET Core or equivalent technologies.

• Python development experience for services, automation, analytics, or AI-related components.

• Strong SQL Server development and performance-tuning skills.

• Experience creating both web-based applications and rich desktop/fat-client applications.

• Practical expertise in profiling, diagnostics, memory management, performance tuning, and production troubleshooting.

• Experience with Git, automated testing, CI/CD, and Azure DevOps or similar engineering platforms.

• Nice to have

• React, Angular, or comparable modern web framework experience.

• MongoDB and data-access modernization experience.

• Microservices, modular monolith, event-driven, or message-based architecture experience.

• Microsoft Azure, containerization, Kubernetes, and enterprise API management experience.

• Experience integrating LLMs, AI assistants, retrieval-augmented generation, tool-calling, or enterprise AI gateways.

• Familiarity with application security, data entitlements, auditability, and regulated environments.

• Other

• Languages

• English: C1 Advanced

• Seniority

• Lead