Senior Software Engineer - SS&C EVOLV

SS&C Technologies•Remote - Virginia, US, VA

6d•$140,000 - $160,000•Remote

About The Position

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. Our Software Engineering teams are the best in the world. The collaboration you’ll have between multiple teams across the company, Architects, Project Managers and QA to name a few, will provide you with opportunities to be challenged and scale your career. Your ability to learn and communicate with Leadership will only help in providing the most positive, world class career experience.

Requirements

Programming Languages: Strong proficiency in TypeScript, JavaScript, Java, and Python.
Frontend Development: Angular, Micro Frontends, and modern frontend architecture.
Backend Development: Node.js, Nest.js, Java (Spring and JPA frameworks), FastAPI, or equivalent frameworks.
System Architecture: REST API/microservices, large-scale data processing frameworks, event-driven architecture using Kafka/Pulsar, and Spark
Data Platforms: ELT/ETL, Relational/NoSQL DBMS, Vector databases, and cloud data platform integrations (dbt, Dagster, Airbyte, Snowflake).
DevOps: CI/CD pipeline and infrastructure containerization using GitHub, Jenkins, ArgoCd, Docker, and Kubernetes.
Monitoring and observability: Distributed systems tracing and metrics logging using Splunk, Grafana, Loki, Prometheus (or similar)
AI Stack: 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.
Problem-solving mindset: Exceptional analytical and critical thinking skills to identify technical challenges and develop effective solutions.
Communication: Excellent verbal and written communication skills to articulate complex technical ideas clearly to diverse audiences.
Continuous learning: A passion for staying current with emerging technologies and industry trends to drive innovation.

Nice To Haves

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

Responsibilities

Full Stack Application Development: 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.
AI Solution Development: 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.
Enterprise API and Integration Development: Develop secure RESTful APIs, GraphQL services, and event-driven integrations.
Design scalable microservices architecture patterns.
Agentic AI Solutions: 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.
Security, Compliance, and Governance: 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.
Cloud and DevOps: 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.
Cross-Functional Collaboration: 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.