Mid/Senior Full Stack Software Engineer – .NET, FinTech & AI Development

SS&C•Jacksonville, FL

About The Position

SS&C is seeking a mid-to-senior Full Stack Software Engineer for its Trust Application Development team. The role contributes to development, modernization, and support of an enterprise Trust accounting and financial technology platform. The engineer will translate complex business and financial requirements into reliable, scalable technical solutions, while understanding the operational and client impact of application changes. The position involves full-stack development using Microsoft .NET/.NET Core, C#, Microsoft SQL Server, JavaScript, HTML, CSS, and related web technologies. The engineer will work with existing C++ components as needed and help modernize legacy systems toward web, API, microservices, and service-based architectures. The role also includes developing AI-enabled capabilities, integrating enterprise AI platforms and LLM services, and applying AI practices within security, privacy, responsible AI, and governance requirements. The engineer will collaborate with business analysts, product owners, QA engineers, architects, developers, and business stakeholders in an Agile environment throughout the software development life cycle. Financial technology experience is valuable; direct Trust accounting experience is desirable but not required for candidates with relevant financial technology experience and the ability to learn the domain.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline, or equivalent professional experience.
Approximately 5 or more years of professional software development experience; equivalent demonstrated experience and technical capability may be considered.
Strong development experience with Microsoft .NET/.NET Core and C#.
Strong experience with Microsoft SQL Server in enterprise application environments.
Strong SQL development skills, including T-SQL, stored procedures, complex queries, joins, database objects, and data access patterns.
Experience troubleshooting and optimizing SQL Server application performance, including query performance and execution plans.
Understanding of database transactions, locking, blocking, concurrency, and data integrity.
Experience developing full-stack enterprise web applications.
Strong knowledge of JavaScript, HTML, CSS, and web application development.
Experience designing, developing, and consuming REST APIs and web services.
Strong understanding of object-oriented programming, software design patterns, and application architecture.
Experience with source control and modern software development practices, preferably Git/GitHub.
Understanding of secure application development, authentication, authorization, and protection of sensitive financial and client data.
Experience working in an Agile/Scrum development environment.
Strong analytical, troubleshooting, and problem-solving skills.
Ability to understand complex business requirements, workflows, and business rules and translate them into technical designs and software solutions.
Ability to communicate effectively with technical and non-technical or business stakeholders.
Practical experience or demonstrated knowledge in one or more areas of Generative AI or LLM application development, enterprise LLM integrations, prompt engineering, RAG, embeddings, vector search, tool/function calling, AI agents, AI-assisted workflows, or applying AI to business processes and enterprise data.
Ability to evaluate AI-generated responses for quality, accuracy, security, and reliability.
Understanding of AI security considerations, including confidential/client data protection, prompt injection risks, access controls, and appropriate use of enterprise data.
Familiarity with responsible AI principles and AI governance, particularly in regulated or financial-services environments.
Experience or demonstrated knowledge in financial technology or enterprise financial applications, financial services workflows, financial transactions, or related business processes is sought; direct Trust accounting experience is not required.

Nice To Haves

Experience with Vue.js 3 and modern component-based front-end development.
Experience with TypeScript, preferably with Vue.js 3 or another modern front-end framework.
Experience with Vue.js Composition API, reusable components, state management, and modern front-end build tooling.
Experience developing or maintaining applications using C++.
Experience with Microsoft Azure and cloud-based application architectures.
Experience with Azure API Management or similar API gateway technologies.
Experience with RabbitMQ or other messaging technologies and event-driven architectures.
Experience developing microservices or distributed applications.
Experience with OAuth, JWT, SSO, or Microsoft Entra ID.
Experience with CI/CD pipelines and GitHub-based development workflows.
Experience modernizing large enterprise or legacy applications.
Experience in financial services, FinTech, Trust accounting, wealth management, banking, custody, payments, or related financial technology.
Experience developing systems that handle high-value transactions, sensitive financial information, personally identifiable information, or regulated client data.
Direct Trust accounting experience.

Responsibilities

Design, develop, test, and maintain enterprise applications for the Trust accounting and financial technology platform.
Develop and enhance backend services and business logic using Microsoft .NET/.NET Core and C#.
Develop and maintain user-facing functionality using JavaScript, TypeScript, HTML, CSS, and modern web technologies.
Work with existing C++ components and services when required.
Modernize legacy application components toward modern web, API, microservices, and service-based architectures.
Design, develop, and consume RESTful APIs and web services for internal applications, client applications, and third-party integrations.
Develop, troubleshoot, and optimize Microsoft SQL Server solutions, including complex queries, stored procedures, database objects, and data access components.
Troubleshoot database performance, including query execution, indexing, locking, blocking, and transaction-related issues.
Build understanding of Trust accounting, financial services workflows, business rules, transaction processing, and client requirements.
Work with business analysts and stakeholders to translate business and financial requirements into technical solutions.
Assess the downstream business, financial, operational, and client impact of application changes.
Participate in designing and developing AI-enabled capabilities, including Generative AI and LLM-based solutions.
Integrate applications with enterprise AI platforms, APIs, and AI/LLM services.
Apply prompt engineering, structured LLM outputs, RAG, tool/function calling, and AI-assisted workflows where appropriate.
Identify opportunities for AI and automation to improve business processes, operational efficiency, data analysis, and client or user experience.
Ensure AI-enabled solutions meet organizational security, privacy, financial/client data protection, responsible AI, and governance requirements.
Troubleshoot production and non-production application issues and perform root-cause analysis.
Participate in code reviews and contribute to development standards and best practices.
Write clean, maintainable, testable, secure, and performant code.
Participate across the SDLC, including requirements analysis, technical design, development, testing, deployment, and production support.
Collaborate with developers, QA engineers, business analysts, product owners, and business stakeholders in an Agile environment.
Mentor and provide technical guidance to less experienced developers as appropriate.