Note: The job is a remote job and is open to candidates in USA. SS&C Technologies develops technology and services for financial services and healthcare organizations. The Senior Software Engineer develops full-stack applications and production AI solutions, including APIs, agentic workflows, cloud deployments, and secure enterprise integrations.
Responsibilities
- Design, develop, and maintain scalable web applications using TypeScript, JavaScript, Python, Nest.js, Node.js, and Angular
- Build reusable frontend components and responsive user experiences aligned with enterprise UX standards
- Develop backend microservices and APIs supporting high-volume financial workloads
- Integrate Large Language Models (OpenAI, Azure OpenAI, Anthropic, or comparable platforms) into production applications
- Develop intelligent assistants, copilots, workflow automation tools, and conversational experiences
- Implement prompt engineering, model evaluation, guardrails, and SS&C AI governance best practices
- Build semantic search capabilities leveraging embeddings, metadata filtering, and hybrid search techniques
- Improve response quality through continuous tuning, evaluation, and monitoring
- Develop secure RESTful APIs, GraphQL services, and event-driven integrations
- Design scalable microservices architecture patterns
- Develop agent-based workflows using LangChain, LangGraph or similar frameworks
- Integrate AI agents with enterprise systems, APIs, databases, and third-party financial platforms
- Design multi-step workflows capable of performing complex business operations
- Implement secure authentication and authorization using OAuth2, OpenID Connect, and SSO technologies
- Ensure solutions meet enterprise security and compliance standards
- Support compliance requirements related to SOC 2, SOX, GDPR, and financial regulatory frameworks where applicable
- Apply responsible AI practices, data privacy controls, and model governance standards
- Deploy and manage workloads on Azure, AWS, or Google Cloud
- Implement CI/CD pipelines, Infrastructure as Code, containerization, and Kubernetes-based deployments
- Monitor application performance, AI costs, reliability, and operational metrics
- Partner with Product Managers, Solution Architects, Data Engineers, Security teams, and business stakeholders
- Translate business requirements into scalable technical solutions
- Contribute to technical architecture decisions and engineering standards
Skills
- Strong proficiency in TypeScript, JavaScript, Java, and Python
- Angular, Micro Frontends, and modern frontend architecture
- Node.js, Nest.js, Java (Spring and JPA frameworks), FastAPI, or equivalent frameworks
- REST API/microservices, large-scale data processing frameworks, event-driven architecture using Kafka/Pulsar, and Spark
- ELT/ETL**,** Relational/NoSQL DBMS, Vector databases, and cloud data platform integrations (dbt, Dagster, Airbyte, Snowflake)
- CI/CD pipeline and infrastructure containerization using GitHub, Jenkins, ArgoCd, Docker, and Kubernetes
- Distributed systems tracing and metrics logging using Splunk, Grafana, Loki, Prometheus (or similar)
- Claude Code, GraphRAG/Advanced RAG, Model Context Protocol (MCP), LangChain/LangGraph, pgvector/Pinecone, DeepEval/Ragas/Arize Phoenix, and LangSmith/Langfuse (or equivalent tooling)
- 5+ years of software engineering experience spanning frontend and backend development
- Hands-on experience implementing AI-powered applications in production environments
- Experience building enterprise-grade solutions supporting critical business processes
- Exceptional analytical and critical thinking skills to identify technical challenges and develop effective solutions
- Excellent verbal and written communication skills to articulate complex technical ideas clearly to diverse audiences
- A passion for staying current with emerging technologies and industry trends to drive innovation
- Knowledge of monitoring and observability tools such as Splunk, Grafana, Loki, Prometheus
- Experience in Financial Services, Banking, alternative asset management or FinTech industries
- Experience in data pipelines and Data Lakehouse designs to process and extract value from large, disconnected datasets
Benefits
- Hybrid work model
- Business casual dress code, including jeans
- 401(k) matching program
- Professional development reimbursement
- Flexible personal/vacation time off
- Sick leave
- Paid holidays
- Medical, dental, and vision coverage
- Employee assistance program
- Parental leave
- Committed to celebrating the variety of backgrounds, talents and experiences of employees
- Hands-on, team-customized training, including SS&C University
- Discounts on fitness clubs, travel and more
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