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.
Key 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.
Required Qualifications
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.
Financial Technology & Business Knowledge
The ideal candidate will have experience or demonstrated knowledge in one or more of the following areas:
Financial technology (FinTech) or enterprise financial applications.
Trust accounting, wealth management, asset management, banking, custody, retirement services, or related financial services.
Financial transactions, account processing, cash and asset movement, positions, holdings, income, fees, or other accounting concepts.
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.
AI / Generative AI Experience
Candidates should have practical experience or demonstrated knowledge in one or more of the following areas:
Developing applications using Generative AI or Large Language Models (LLMs).
Integrating .NET or enterprise applications with commercial or enterprise LLM platforms and APIs.
Prompt engineering and management of prompts within production applications.
Retrieval-Augmented Generation (RAG), embeddings, vector search, or enterprise knowledge retrieval.
LLM tool/function calling and integration with existing application services and APIs.
Developing AI agents or AI-assisted workflows.
Applying AI to existing business processes, applications, and enterprise data.
Evaluating and testing AI-generated responses for quality, accuracy, security, and reliability.
Understanding 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.
Preferred Qualifications
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.
Core Technical Skills
Required / Core
C#, Microsoft .NET / .NET Core, Microsoft SQL Server, T-SQL, JavaScript, HTML, CSS, REST APIs/Web Services
Preferred / Desirable
TypeScript, Vue.js 3, C++, Git/GitHub, Microsoft Azure, Azure API Management, RabbitMQ, Microservices, CI/CD
AI Technologies & Concepts
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
Desired Attributes
The successful candidate will be a strong hands-on developer who combines technical depth, financial technology knowledge, business understanding, database expertise, and emerging AI capabilities.
We are particularly interested in candidates who can bridge the gap between business needs and technology. The individual should be comfortable learning complex financial and Trust accounting concepts, understanding the business purpose behind requirements, and translating those requirements into secure, reliable, scalable software.
The ideal candidate should be comfortable working across the application stack—from SQL Server and backend business logic through APIs and modern web interfaces—and understand how design decisions at each layer can affect application performance, reliability, and the overall client experience.
The candidate will also help bridge traditional enterprise financial software engineering and emerging AI technologies, understanding that successful AI implementation requires more than experimentation and must integrate securely and reliably with existing applications, APIs, workflows, business rules, and financial data
Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.
SS&C Technologies offers a comprehensive total rewards package designed to support your wellbeing, growth, and future. Our benefits include medical, dental, and vision coverage; a 401(k) plan with company match; paid time off, holidays, and parental leave; and professional development reimbursement opportunity.
Applications will be accepted on an ongoing basis until the position is filled.
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.
