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Job Description

SS&C Technologies is hiring a Senior Software Engineer (SS&C EVOLV) for remote work in Virginia. The role focuses on building full-stack applications and AI-driven solutions that support enterprise financial workloads, including production LLM integrations, secure APIs, and cloud-based deployment.

Responsibilities

  • Design, develop, and maintain scalable web applications using TypeScript, JavaScript, Python, Nest.js, Node.js, and Angular.
  • Create reusable frontend components and responsive user experiences aligned with enterprise UX standards.
  • Develop backend microservices and APIs to support high-volume financial workloads.
  • Integrate Large Language Models (OpenAI, Azure OpenAI, Anthropic, or comparable platforms) into production applications.
  • Build intelligent assistants, copilots, workflow automation tools, and conversational experiences.
  • Apply prompt engineering practices, model evaluation, guardrails, and SS&C AI governance best practices.
  • Implement semantic search capabilities using 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 that perform complex business operations.
  • Implement secure authentication and authorization using OAuth2, OpenID Connect, and SSO technologies.
  • Ensure solutions meet enterprise security and compliance requirements.
  • Support compliance requirements related to SOC 2, SOX, GDPR, and applicable financial regulatory frameworks.
  • 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.

Requirements

  • 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.
  • Experience with REST API/microservices, large-scale data processing frameworks, event-driven architecture using Kafka/Pulsar, and Spark.
  • Knowledge of ELT/ETL, Relational/NoSQL DBMS, vector databases, and cloud data platform integrations (dbt, Dagster, Airbyte, Snowflake).
  • Experience with CI/CD pipelines and infrastructure containerization using GitHub, Jenkins, ArgoCd, Docker, and Kubernetes.
  • Experience with distributed systems tracing and metrics logging using Splunk, Grafana, Loki, Prometheus (or similar).
  • Hands-on experience with AI and evaluation tooling including 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.
  • Passion for staying current with emerging technologies and industry trends to drive innovation.

Technologies

TypeScript, JavaScript, Python, Nest.js, Node.js, Angular, OpenAI, Azure OpenAI, Anthropic, Large Language Models, prompt engineering, embeddings, semantic search, RESTful APIs, GraphQL, event-driven integrations, LangChain, LangGraph, OAuth2, OpenID Connect, SSO, SOC 2, SOX, GDPR, Azure, AWS, Google Cloud, CI/CD pipelines, Infrastructure as Code, containerization, Kubernetes, Splunk, Grafana, Loki, Prometheus, Kafka, Pulsar, Spark, ELT/ETL, Relational/NoSQL DBMS, Vector databases, dbt, Dagster, Airbyte, Snowflake, GitHub, Jenkins, ArgoCd, Docker, Claude Code, GraphRAG/Advanced RAG, Model Context Protocol (MCP), pgvector/Pinecone, DeepEval, Ragas, Arize Phoenix, LangSmith, Langfuse, SS&C AI governance best practices.

Benefits

  • 401k Matching Program
  • Professional Development Reimbursement
  • Flexible Personal/Vacation Time Off
  • Sick Leave
  • Paid Holidays
  • Medical, Dental, Vision
  • Employee Assistance Program
  • Parental Leave
  • Hybrid Work Model
  • Business Casual Dress Code, including jeans
  • Hands-On, Team-Customized programs, including SS&C University
  • Discounts on fitness clubs, travel and more

Preferred / Desirable

  • 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

Location and Compensation

  • Location: Remote (Virginia)
  • Base Salary: USD 140,000 - 160,000 per year

Expected Characteristics

  • 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.

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