Product Delivery & Execution

• Own the development from Softwar Engineering of end‑to‑end product capabilities for Nova, from backend integration through to user‑facing experiences.
• Partner with the UX/Product and engineering leadership to refine requirements, shape scope, define delivery sequencing with clear trade‑offs, iterate quickly using prototypes, feedback loops, and measurable outcomes
• Provide accurate estimates, identify dependencies early, and proactively manage risks to keep delivery predictable.
• Balance near‑term feature delivery with longer‑term maintainability by proposing and implementing pragmatic architectural improvements.

Full‑Stack Development (Backend + Frontend)

• Design and implement robust backend services, APIs, and integrations with enterprise systems and platform services (identity, events, APIs, data access)..
• Build workflow-driven experiences (actions, recommendations, tasks) beyond dashboards.
• Build high-quality frontend applications with strong attention to usability, performance, accessibility, and developer experience.
• Define and enforce API contracts, data models, and integration patterns to ensure reliable cross‑component collaboration.

Technical Leadership (as a Senior IC)

• Serve as a technical anchor for the squad: influence design decisions, align implementation with architecture standards, and mentor others through reviews and pairing.
• Raise the technical bar through strong engineering judgement, clear recommendations, and a bias for simple, resilient solutions.
• Collaborate closely with Solutions/Data Architects to ensure the product aligns with broader PepsiCo capabilities and integration standards.

Engineering Excellence & Quality

• Set a high standard for code quality: clean architecture, maintainable structure, consistent patterns, and strong test coverage.
• Establish and improve automated testing strategies.
• Contribute to CI/CD pipelines, observability (logging/metrics/tracing), and reliable release practices (progressive rollouts, rollback plans).
• Proactively identify and reduce technical debt, addressing root causes and preventing recurring issues.
• Build for scalability and performance, including profiling, optimisation, and capacity-minded design.

Collaboration & Stakeholder Engagement

• Work effectively across disciplines (data engineering, BI engineering, data science) to deliver integrated solutions end‑to‑end.
• Communicate clearly with stakeholders: explain technical constraints, propose options, and support demos and feedback loops.
• Coordinate with US DTX product/engineering counterparts when beneficial, sharing knowledge and aligning on reusable patterns while respecting independent operating models.
• Act as a dependable owner for key components, responding to incidents, driving root‑cause analysis, and improving system reliability.

Continuous Improvement & Mentoring

• Mentor and coach other engineers through code reviews, design reviews, pairing, and knowledge sharing.
• Identify process improvements in ways of working (refinement quality, estimation, release readiness) and help the team adopt them.
• Stay current with relevant full‑stack and platform technologies, and bring pragmatic innovation to the product.