Senior Full Stack Developer - Portfolio Management System

Project descriptionWe 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.ResponsibilitiesKey Responsibilities:Application ModernizationUpgrade 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 EngineeringInvestigate 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 SimplificationReduce 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 DevelopmentDesign 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 EnablementBuild 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 DeliveryMaintain 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.SKILLSMust have10+ 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 workflowsHands-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.

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.