AI Software Engineer transforming SS&C’s financial and healthcare technology delivery with AI agents and automated ADLC workflows.
Building solutions across development, testing, production support, and operational excellence.
Responsibilities
Design, develop, and implement AI-enabled solutions across the application delivery lifecycle
Partner with business stakeholders, architects, developers, QA teams, and technology leaders to identify AI productivity and software-quality opportunities
Design and implement workflows using Claude Code and other AI-assisted development technologies
Evolve traditional SDLC practices toward an AI-driven Application Development Lifecycle (ADLC)
Introduce intelligent automation and AI agents supporting planning, development, testing, code reviews, troubleshooting, integration, deployment, and operational support
Support production applications and troubleshoot complex technical issues
Use AI-assisted techniques for 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
Contribute to technical design discussions and implementation planning
Requirements
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline
10+ years of hands-on software development experience in Java and Python
Proven experience designing and delivering enterprise software applications
Proven experience transforming traditional SDLC methodologies into autonomous AI-driven ADLC platforms
Experience leveraging AI agents to automate planning, implementation, testing, review, integration, and delivery
Experience implementing AI-assisted development capabilities within software engineering teams
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, RAG concepts, AI agents, and context management strategies
Knowledge of AI evaluation and validation techniques
Strong proficiency in Java, Python, and software development frameworks
Experience with microservices, event-driven architectures, database design and integration, and secure coding practices
Strong understanding of SDLC methodologies, CI/CD pipelines, DevOps practices, and Agile delivery approaches
Legally eligible to work at the specified location and able to provide a valid work or study permit where applicable
Benefits
Hybrid Work Model
Business casual dress code, including jeans
RRSP Matching Program
Professional Development Reimbursement
Flexible Personal/Vacation Time Off
Sick Leave
Paid Holidays
Medical insurance
Dental insurance
Vision insurance
Employee Assistance Program
Parental Leave
Diversity and inclusion commitment
Hands-on, team-customized training, including SS&C Learning Institute
Discounts on fitness clubs, travel and more
Accommodation for applicants with disabilities throughout the hiring process
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