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About the Role

We are seeking an experienced Mid-to-Senior Full Stack Software Engineer to join our Trust Application Development team. This position will contribute to the ongoing development, modernization, and support of our enterprise Trust accounting and financial technology platform. The ideal candidate combines strong software engineering skills with an understanding of financial technology (FinTech), financial services, and business processes. The developer should be able to understand complex business requirements and translate them into reliable, scalable technical solutions while recognizing the operational and client impact of application changes. In addition to traditional application development, we are looking for a developer with experience or strong practical knowledge in Artificial Intelligence (AI), Generative AI, and Large Language Model (LLM) application development. The engineer will help identify, design, and implement AI-enabled capabilities within our financial technology applications while working within established security, data privacy, and AI governance standards. This role requires someone who can work effectively across technology and business domains, collaborating with business analysts, product owners, QA engineers, architects, developers, and business stakeholders in an Agile development environment.

Responsibilities

Design, develop, test, and maintain enterprise applications supporting our 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 where required.
Participate in the continued modernization of legacy application components toward modern web, API, microservices, and service-based architectures.
Design, develop, and consume RESTful APIs and web services supporting internal applications, client applications, and third-party integrations.
Design, develop, troubleshoot, and optimize database solutions using Microsoft SQL Server, including complex SQL queries, stored procedures, database objects, and data access components.
Analyze and troubleshoot database performance issues, including query execution, indexing, locking, blocking, and transaction-related issues.
Develop a strong understanding of Trust accounting, financial services workflows, business rules, transaction processing, and client requirements.
Work closely with business analysts and stakeholders to translate business and financial requirements into effective technical solutions.
Understand the downstream business, financial, operational, and client impact of application changes.
Participate in the design and development of AI-enabled application capabilities, including Generative AI and LLM-based solutions.
Integrate applications with enterprise AI platforms, APIs, and AI/LLM services.
Apply techniques such as prompt engineering, structured LLM outputs, Retrieval-Augmented Generation (RAG), tool/function calling, and AI-assisted workflows, where appropriate.
Identify opportunities where AI and automation can improve business processes, operational efficiency, data analysis, and the client/user experience.
Ensure AI-enabled solutions comply with organizational requirements for security, privacy, protection of financial/client data, responsible AI, and AI governance.
Troubleshoot production and non-production application issues and perform root-cause analysis.
Participate in code reviews and contribute to application development standards and best practices.
Write clean, maintainable, testable, secure, and performant code.
Participate throughout the full Software Development Life Cycle (SDLC), including requirements analysis, technical design, development, testing, deployment, and production support.
Collaborate closely with developers, QA engineers, business analysts, product owners, and business stakeholders within an Agile development environment.
Mentor and provide technical guidance to less experienced developers as appropriate.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline, or equivalent professional experience.
Approximately 5+ years of professional software development experience, with consideration given to candidates with equivalent demonstrated experience and technical capability.
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 experience with 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 practices, authentication, authorization, and protection of sensitive financial and client data.
Experience working within an Agile/Scrum development environment.
Strong analytical, troubleshooting, and problem-solving skills.
Demonstrated ability to understand complex business requirements, workflows, and business rules and translate them into technical designs and software solutions.
Ability to communicate effectively with both technical and non-technical/business stakeholders.
Experience or demonstrated knowledge in financial technology (FinTech) or enterprise financial applications.
Experience or demonstrated knowledge in Trust accounting, wealth management, asset management, banking, custody, retirement services, or related financial services.
Experience or demonstrated knowledge in financial transactions, account processing, cash and asset movement, positions, holdings, income, fees, or other accounting concepts.
Experience or demonstrated knowledge in integration between financial systems, third-party providers, custodians, payment platforms, or client applications.
Understanding of how technology supports business operations, client servicing, accounting, reporting, risk, and regulatory requirements.
Ability to analyze business processes and identify opportunities for technology, automation, APIs, and AI to improve efficiency or user experience.
Experience working directly with business analysts, product owners, operations teams, or clients to understand requirements and develop solutions.
Ability to understand not only how a system works technically, but why a business process exists and how technology changes may affect users, clients, financial transactions, and downstream systems.
Direct Trust accounting experience is highly desirable but not required for candidates with strong financial technology experience and the ability to quickly learn complex financial and business domains.
Practical experience or demonstrated knowledge in developing applications using Generative AI or Large Language Models (LLMs).
Practical experience or demonstrated knowledge in integrating .NET or enterprise applications with commercial or enterprise LLM platforms and APIs.
Practical experience or demonstrated knowledge in prompt engineering and management of prompts within production applications.
Practical experience or demonstrated knowledge in Retrieval-Augmented Generation (RAG), embeddings, vector search, or enterprise knowledge retrieval.
Practical experience or demonstrated knowledge in LLM tool/function calling and integration with existing application services and APIs.
Practical experience or demonstrated knowledge in developing AI agents or AI-assisted workflows.
Practical experience or demonstrated knowledge in applying AI to existing business processes, applications, and enterprise data.
Practical experience or demonstrated knowledge in evaluating and testing AI-generated responses for quality, accuracy, security, and reliability.
Understanding of AI security considerations, including protection of confidential/client data, prompt injection risks, access controls, and appropriate use of enterprise data.
Familiarity with responsible AI principles and AI governance practices within regulated or financial-services environments.
Experience with Vue.js 3 and modern component-based front-end application development.
Experience with TypeScript, preferably in conjunction with Vue.js 3 or another modern front-end framework.
Experience with Vue.js technologies and patterns such as the 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 messaging technologies such as RabbitMQ 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 with financial services, FinTech, Trust accounting, wealth management, banking, custody, payments, or related financial technology.
Experience developing systems handling high-value transactions, sensitive financial information, personally identifiable information, or regulated client data.

Skills

C#
Microsoft .NET / .NET Core
Microsoft SQL Server
T-SQL
JavaScript
HTML
CSS
REST APIs/Web Services
TypeScript
Vue.js 3
C++
Git/GitHub
Microsoft Azure
Azure API Management
RabbitMQ
Microservices
CI/CD
Generative AI
Large Language Models (LLMs)
Prompt Engineering
RAG
Embeddings/Vector Search
AI Agents
Tool/Function Calling
AI APIs
Responsible AI
AI Security and Governance

Location

Windsor, Connecticut

Work Type

Full-time

Experience Level

Mid-to-Senior
5+ years

Education Level

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline, or equivalent professional experience.

Benefits

Medical, dental, and vision coverage
401(k) plan with company match
Paid time off, holidays, and parental leave
Professional development reimbursement opportunity

About the Company

SS&C is a leading provider of mission-critical, AI-powered technology and services empowering financial services and healthcare organizations to work smarter, faster, and securely.
Founded in 1986, SS&C is headquartered in Windsor, Connecticut, and has offices worldwide.
More than 23,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.

Equal Opportunity

SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.