Senior Software Engineer

Key Responsibilities

• Instrument and leverage AI/agentic workflows to accelerate design, prototyping, code generation, test-case creation, specification drafting, and automated validation across the software lifecycle.
• AI-assisted development oversight, ethical compliance, and integration of generative AI tools.
• Own end-to-end solution delivery across Discovery and Delivery Tracks, converting business needs into validated prototypes, formal designs, decomposed deliverables, and accepted technical implementations.
• Lead the Discovery Track under Dual-Track Agile, rapidly prototyping and demoing solutions to validate feasibility and align stakeholders before full implementation.
• Translate discovery outcomes into delivery backlog items, ensuring design intent, architecture standards, and non-functional requirements are preserved throughout implementation.
• Lead architecture design and governance across products and integrations: produce ADRs, interface contracts, data models, sequencing diagrams, migration/rollback plans, and traceability matrices.
• Serve as active technical lead in client engagements: facilitate workshops, present technical solutions, make trade-off decisions, drive approvals, and act as a subject-matter expert for assigned platform areas.
• Implement and demo reference code or critical components, applying hands-on coding in modern retail platform stacks, reviewing and approving deliverables from implementation teams.
• Define and enforce architecture standards, reusable integration patterns, and non-functional requirements (security, scalability, observability) across client solutions.
• Mentor and upskill engineers and architects on AI-assisted development, Dual-Track workflows, specification-driven design, and platform best practices.
• Contribute to platform and portfolio strategy, identifying reusable assets, API-first designs, and gaps requiring investment.
• Own risk analysis and mitigation for architecture decisions, including backward compatibility, data integrity, and compliance constraints.

Must-Have Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• Applying and utilizing AI-assisted tools and workflows (e.g., GitHub Copilot, Cursor, Claude Code) for design, coding, test generation, and documentation.
• 10+ years of professional software development experience, including recent hands-on coding and prototyping in modern technology stacks.
• 6+ years designing cloud-native, microservices, or event-driven architectures, with experience in Azure or equivalent cloud platforms.
• Familiarity with technology stack such as Java/Spring Boot, TypeScript, React/Vue.
• Proven experience owning end-to-end solution delivery, including design, implementation, and post-release operational accountability for medium-to-large projects.
• Hands-on experience building prototypes or reference implementations to validate architecture and solution feasibility.
• Strong experience with REST/OpenAPI, messaging platforms, and relational/non-relational databases (SQL/NoSQL).
• Hands-on proficiency with CI/CD, containerization, Docker, Kubernetes, deployment tooling, automated testing, and AI/agentic workflows to accelerate the software lifecycle.
• Practical experience with generative AI and AI-assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor) with measurable impact on delivery.
• Excellent stakeholder communication skills, able to facilitate workshops, present technical solutions, and collaborate across business and engineering teams.
• Proven leadership in mentoring engineers, conducting code reviews, and enforcing architecture governance, promoting best practices across teams.

Preferred Qualifications

• Strong retail platform domain knowledge (POS systems, store operations) is highly desirable.
• Certifications such as Azure Solutions Architect or equivalent cloud credentials.
• Strong understanding of advanced security best practices and compliance requirements in enterprise systems.
• Experience leading Dual-Track Agile processes, managing both Discovery and Delivery Tracks, and translating discovery outcomes into actionable backlog items.
• Experience contributing to platform strategy, reusable assets, and API-first designs.
• Expertise in formal or machine-readable specifications (OpenAPI, UML+OCL, TLA+, or equivalent) to guide implementation and enable automated validation.