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SS&C

Cloud-based SaaS for financial operations

Senior Java AI Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline.
  • At least 10 years of hands-on software development experience in Java and Python.
  • Proven experience designing and delivering enterprise software applications.
  • Proven experience transforming software delivery from traditional SDLC methodologies to autonomous Agentic-driven Application Development Lifecycle platforms, leveraging AI agents to automate planning, implementation, testing, review, integration, and delivery.
  • Experience implementing AI-assisted development capabilities within software engineering teams.
  • A strong background in solution design, software development, testing, and production support.
  • Hands-on experience with Claude Code and GitHub Copilot.
  • Practical experience applying AI to software design, development, code review, testing, documentation, and troubleshooting.
  • Understanding of prompt engineering, retrieval-augmented generation concepts, AI agents, context management strategies, and AI evaluation and validation techniques.
  • Strong proficiency in Java and Python and software development frameworks.
  • Experience with microservices, event-driven architectures, database design and integration, and secure coding practices.
  • A strong understanding of SDLC methodologies, CI/CD pipelines, DevOps practices, and Agile delivery approaches.

Responsibilities

  • Design and implement Agentic-enabled workflows that improve developer productivity and software quality.
  • Leverage Claude Code and AI-assisted development tools to accelerate project deliverables from requirements analysis through production activities.
  • Apply AI-assisted approaches throughout the application development lifecycle while maintaining engineering quality standards.
  • Contribute to evolving software delivery processes from traditional SDLC approaches toward Agentic-driven Application Development Lifecycle models.
  • Implement AI agents and automation capabilities that support planning, development, testing, review, integration, deployment, and operational support.
  • Identify opportunities to reduce manual effort and repetitive engineering tasks through AI-driven automation.
  • Support production applications and assist with troubleshooting complex technical issues.
  • Use AI-assisted techniques to accelerate root cause analysis and incident resolution.
  • Create and maintain technical documentation, operational procedures, and knowledge artifacts.
  • Collaborate with operations and support teams to improve application stability and operational efficiency.
  • Work with Product Owners, Business Analysts, Architects, QA teams, and Developers throughout the delivery lifecycle.
  • Contribute to technical design discussions and implementation planning.
  • Promote best practices for AI-assisted software development and engineering excellence.
  • Partner with business stakeholders, architects, developers, QA teams, and technology leaders to identify opportunities where AI can improve productivity and software quality.
  • Design and implement practical solutions using AI-assisted development technologies to reduce manual effort, automate repetitive tasks, accelerate delivery, and enhance engineering outcomes.
  • Help evolve software delivery toward an Agentic Application Development Lifecycle, introducing intelligent automation and AI agents to support planning, development, testing, code reviews, troubleshooting, and operational support.

About the Company

SS&C

Cloud-based SaaS for financial operations

SS&C Technologies provides cloud-based software and services for financial services firms, focusing on investment and asset management. Its subscription-based SaaS tools automate back-office tasks, portfolio and investment management, and related workflows, all hosted in the cloud. The platform integrates with other financial systems to manage assets, processing, reporting, and compliance from a single place, helping reduce manual work and costs. By offering breadth across wealth, asset, and property management with a services-enabled SaaS model, its goal is to automate, standardize, and optimize back-office operations so firms can focus on managing investments and client relationships.

Company size
10,001+
Company stage
IPO
Headquarters
Windsor, CT
Founded
1986

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