We're looking for an experienced Systems Analyst to join a large-scale system rewrite/modernization initiative running on AWS. This role goes beyond writing User Stories - you'll be hands-on in producing detailed, system-level functional and technical specifications that feed directly into a Spec-Driven / Model-Based development process, working closely with developers who leverage AI tools to translate specs into code.
Responsibilities
Conduct in-depth analysis of the existing system to identify components requiring change or a full rewrite
Translate business requirements into detailed functional and technical specifications (Spec) to support Spec-Driven development
Author hands-on, system-level specification documents with full technical detail - not limited to User Stories
Work closely with the development team, AWS specialists, and business stakeholders to shape system solutions suited to a cloud environment
Participate in short sprint planning cycles, scope definition, and tracking of requirements through execution
Collaborate on an ongoing basis with development teams using AI tools to automatically convert specifications into code
Maintain consistency and quality of deliverables, including documentation and change control throughout the project lifecycle
Requirements
At least 3 years of experience specifying complex information systems (significant advantage for experience in the public sector or large organizations)
Strong command of Agile methodologies and sprint-based team workflows
Practical understanding of cloud architectures and AWS-based projects (significant advantage)
Familiarity with Spec-Driven / Model-Based Development
Experience with large-scale system rewrite/modernization projects - significant advantage
Experience working with AI tools or AI-assisted development workflows - advantage
Knowledge of integrating AI into software development processes - advantage
Excellent written communication, systems thinking, and strong interpersonal skills
Relevant degree in Information Systems, Industrial Engineering & Management, or Computer Science