• Build and operate systems with high transactions per second (TPS) • Implement comprehensive observability • Diagnose and resolve complex incidents in distributed systems • Proactively identify technical improvements and manage technical debt • Mentor junior developers and work collaboratively within agile methodologies

• Design and implement scalable, high-quality components and services aligned with team and company goals • Contribute to technical decisions on solution design, architecture, technical debt, reliability, and performance • Collaborate with product managers, designers, and stakeholders to translate customer needs into balanced technical solutions • Monitor and improve system performance • Champion best practices in software development, agile methodologies, and continuous improvement • Own delivery pipeline (code quality, testing, deployments) and participate in on-call duties.

• Drive Architectural Strategy: Own the roadmap for our multi-tenant SaaS platform, ensuring it supports our global expansion and high-performance requirements. • Lead the AI Revolution: Architect and embed AI/ML capabilities across the Natterbox platform, translating emerging technologies into production-ready features. • Engineering Mentorship: Champion a culture of excellence by leading design reviews, establishing documentation standards, and coaching engineers to become future technical leaders. • Governance & Risk Management: Proactively identify "institutional knowledge" risks and ensure our systems are documented, observable, and resilient. • Cross-Functional Collaboration: Partner with the Head of Engineering and Product leadership to align technical decisions with our long-term product vision.

• Design and implement critical features and platform components – this is an active coding role. • Own technical architecture decisions: system design, service boundaries, data modelling, and API contracts. • Lead code and design reviews, setting the technical bar and coaching engineers through them. • Resolve complex engineering challenges, performance bottlenecks, and cross-cutting concerns. • Drive adoption of engineering best practices: TDD, CI/CD, observability, and security-by-design. • Lead a small agile team – run sprints, set goals, unblock engineers, and manage delivery commitments. • Mentor and develop engineers through regular 1:1s, feedback, and pair programming. • Collaborate with Product and Operations to refine roadmaps and translate requirements into technical plans. • Lead the team’s adoption of AI development tools (e.g. GitHub Copilot, AI-assisted testing) and build internal best practices. • Identify opportunities to embed AI/ML capabilities into the Radiant platform to enhance customer value. • Evaluate emerging AI tools and partner with leadership to define an AI strategy roadmap for engineering.