This is a rare greenfield opportunity to help build and shape the future of AI-driven software delivery within our organization. You will work at the forefront of AI-assisted engineering, helping establish new practices, platforms, and automation capabilities that modernize how software is delivered and supported.
What You'll Do
You will partner closely with business stakeholders, architects, developers, QA teams, and technology leaders to identify opportunities where AI can drive meaningful productivity gains and improve software quality.
Using tools such as Claude Code and other AI-assisted development technologies, you will design and implement practical solutions that reduce manual effort, automate repetitive tasks, accelerate delivery, and enhance engineering outcomes.
You will also help us evolve from traditional Software Development Life Cycle (SDLC) practices toward an Agentic Application Development Lifecycle (ADLC), introducing intelligent automation and AI agents that support planning, development, testing, code reviews, troubleshooting, and operational support.
What We're Looking For
You are a highly experienced software engineer with 10+ years of hands-on development experience in Java and Python and a passion for leveraging AI to solve real engineering challenges.
You have practical experience using AI-powered development tools such as Claude Code and understand how Agentic AI can be applied to improve productivity, software quality, and operational efficiency. You enjoy building new capabilities, influencing engineering practices, and working collaboratively across teams to drive innovation and measurable business value.
Key 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 requirement analysis till Production activities.
Apply AI-assisted approaches throughout the application development lifecycle while maintaining engineering quality standards.
Contribute to the evolution of software delivery processes from traditional SDLC approaches toward Agentic-driven Application Development Lifecycle (ADLC) models.
Implement AI agents and automation capabilities that support
Planning
Development
Testing
Review
Integration
Deployment
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 closely 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.
Required Qualifications
Education
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline.
Experience
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 (ADLC) platforms, 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.
Technical Expertise
Hands-on experience with
Claude Code
GitHub Copilot
Practical experience applying AI to
Software design
Development
Code review
Testing
Documentation
Troubleshooting
Understanding of
Prompt engineering
RAG concepts
AI agents
Context management strategies
AI evaluation and validation techniques
Strong proficiency in programming languages Java and Python and software development frameworks.
Experience with
Microservices
Event-driven architectures
Database design and integration
Secure coding practices
Strong understanding of
SDLC methodologies
CI/CD pipelines
DevOps practices
Agile delivery approaches
Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.
Applications will be accepted on an ongoing basis until the position is filled.
SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.
