• Design and implement backend services for invoice data extraction, validation, calculation, and transformation based on contractual rules, SLAs, pricing matrices and repair service conditions • Develop logic to consolidate data from logistics events, repair operations, partner services and external financial inputs • Ensure accurate settlement and reconciliation between partners (e.g., repair centers, logistics providers) and customers • Maintain audit trails and financial data integrity across the entire billing workflow • Build configurable approval workflows for internal and external stakeholders (e.g., finance controllers, partner managers, customer approvers) • Implement rule engines for exception handling, dispute management and manual overrides • Provide UI features for reviewing, commenting, and approving billing items and invoice lines • Develop scalable solutions that support onboarding of new customers and business areas • Design, develop and maintain robust backend APIs (REST) and microservices supporting billing and invoicing features • Create and modernize intuitive front-end interfaces for financial reporting, approval monitoring, dispute resolution, and invoice line-item inspection • Ensure seamless integration with operational systems, logistics platforms and finance systems • Contribute to database schema design focusing on financial accuracy, performance and auditability • Implement and maintain validation frameworks ensuring high data accuracy across billing sources • Ensure compliance with financial regulations, tax rules, customer/partner contracts and data protection requirements • Build monitoring and alerting systems to detect anomalies in pricing, invoice volumes or approval delays • Work closely with Finance, Operations, Partner Management and Data Engineering teams to improve billing performance and accuracy • Translate business requirements into technical specifications, workflows and architecture components • Support internal and external audits through transparent documentation and traceable system behaviour

• Design and build internal developer tools and platforms using Node.js, TypeScript, and Vue.js • Develop user-friendly interfaces and APIs that enable self-service workflows for engineers • Improve developer onboarding and day-to-day workflows through automation and tooling • Partner with Internal Developer Platform (IDP) and Platform Engineering teams on shared capabilities • Improve CI/CD developer experience by building tooling around build, test, and deployment workflows • Create abstractions and interfaces that simplify interaction with CI/CD pipelines • Help standardize development and release workflows across teams • Identify bottlenecks in the developer workflow and drive improvements • Build and maintain internal web applications and dashboards using Vue.js • Focus on usability, performance, and consistency across DevEx tools • Work closely with designers and platform engineers to deliver intuitive developer-facing experiences • Build backend services and APIs using Node.js and TypeScript to support DevEx tooling • Integrate with platform services, CI/CD systems, and infrastructure APIs • Ensure reliability, scalability, and security of internal tools • Automate manual processes to reduce developer wait times and friction. • Enable self-service capabilities for: Environment provisioning, Access management, Debugging and observability • Reduce reliance on ticket-based workflows through automation. • Act as a senior engineer within the DevEx team • Mentor mid-level engineers and review code/designs • Contribute to technical standards and best practices • Collaborate across teams to influence developer experience improvements

• Design and Deploy Production AI Agentic Systems: Architect, build, and deploy autonomous AI agents using state-of-the-art frameworks like ADK (Agentic Design Kit) and LangGraph that leverage LLMs to automate code reviews, quality analysis, and development workflow optimization at scale • Architect Advanced Context Engineering Solutions: Design sophisticated context engineering strategies including dynamic context assembly, agentic retrieval patterns, memory systems (episodic and working memory), and multi-hop reasoning pipelines for complex code analysis tasks • Develop AI-Powered Automation Tools: Build intelligent backend services in Python and Java that leverage GenAI to detect anti-patterns, suggest improvements, and standardize development workflows • Establish AI-Enhanced Engineering Excellence: Define and implement coding standards and best practices specifically for GenAI systems, including LLM evaluation metrics, guardrails, and responsible AI principles • Lead AI-Powered Code Reviews: Conduct comprehensive code reviews using state-of-the-art GenAI tools and agents, providing architectural guidance on performance, security, and AI system design

• Lead and develop multiple mobile engineering teams across iOS, Android, and cross-platform technologies. • Define and execute the strategic vision for mobile engineering in alignment with company goals. • Oversee delivery of all mobile initiatives, ensuring quality, scalability, and exceptional user experiences. • Partner with executive leadership to align mobile roadmaps with business objectives, customer needs, and market trends. • Drive engineering operational excellence by implementing processes that improve speed, quality, and predictability. • Establish and monitor key performance metrics for mobile delivery, technical health, and team performance. • Mentor senior engineering managers and technical leads, building leadership depth within the organization. • Lead recruitment and retention efforts to grow a diverse, high-performing mobile organization. • Partner with architecture and platform teams to guide technology choices, frameworks, and long-term platform strategy. • Represent mobile engineering in executive forums, budget planning, and cross-functional strategic initiatives.