• Act as the Real Estate & PropTech Domain SME, providing strategic advisory across asset management, portfolio optimization, leasing, and facility operations. • Lead CXO workshops, discovery sessions, digital maturity assessments, and Smart Building readiness assessments. • Drive digital transformation initiatives leveraging PropTech, Smart Buildings, IoT, AI/GenAI, Digital Twins, BIM, and ESG solutions. • Translate business challenges into technology roadmaps, solution architectures, and measurable business outcomes. • Develop business cases, ROI models, investment justifications, and portfolio modernization strategies. • Drive presales activities, manage proposal creation, solution shaping, and support consulting practice growth. • Create reusable frameworks, accelerators, thought leadership assets, whitepapers, and industry points of view. • Collaborate with architects, engineering, cloud, AI, data, and IoT teams to ensure successful strategy-to-execution delivery. • Provide governance, executive reporting, and outcome tracking for large-scale Real Estate transformation programs. • Represent Nagarro through client engagements, industry events, conferences, and practice-building initiatives.

• Own the technical architecture of the modular MES/MOM systems and industrial integrations. • Lead hands-on software delivery across backend services, integration components, operational workflows, and data models. • Define information flows between IFS Cloud/ERP, MES/MOM, engineering systems, quality systems, and shop-floor equipment. • Design ERP integrations covering production orders, project structures, items, BOMs, routings, work status, labour, quality events, and traceability. • Establish the digital thread between engineering definitions, manufacturing execution, quality gates, certificates, inspection evidence, and final equipment documentation. • Define reusable machine and production-cell integration patterns using APIs, messaging, OPC UA, MQTT, edge gateways, and vendor interfaces. • Define canonical manufacturing data models for items, BOMs, routings, operations, equipment, welds, materials, documents, and quality records. • Build reliability and auditability into integrations, including idempotency, retries, replay, offline buffering, reconciliation, versioning, data lineage, and audit trails. • Translate manufacturing processes into system workflows covering dispatching, work instructions, production reporting, downtime, punch lists, quality gates, and traceability. • Support integration testing, FAT/SAT activities, commissioning, go-live, incident resolution, and operational handover.

Role Description We are looking for a proactive and experienced Full-Stack Developer to join the Application team at the partner company. Their mission is to provide businesses with easy access to high-quality web data, allowing clients to focus on data analysis rather than data collection. In this role, you will build, refine, and maintain core features across the full stack, delivering high-performance, pixel-perfect web applications while developing secure back-end systems and intuitive user experiences. The ideal candidate is passionate about writing clean, scalable code, collaborating closely with cross-functional teams, and leveraging modern AI tools to accelerate development. What you will do: - Build, refine, and maintain core features across the full stack, ensuring a polished, high-performance user experience; - Develop and optimize both the company's main application and internal Admin Interfaces (including user management and billing systems); - Implement high-fidelity UI/UX, ensuring pixel-perfect execution of product designs down to the smallest detail; - Work closely with Product Managers and Designers, translating Figma designs into seamless production code; - Collaborate closely with an additional developer and the QA team to ensure smooth integration, high code quality, and flawless deployment; - Design and maintain significant, sensitive, and secure back-end logic and infrastructure; - Take responsibility for maintaining and updating the company’s marketing website, built on WordPress; - Leverage AI tools effectively to accelerate the development lifecycle and optimize delivery speed without compromising quality. Qualifications - 8+ years of proven experience as a Full-Stack Developer, with a strong and balanced track record in both Frontend and Backend development; - Deep, significant experience with React (experience with Next.js is a plus); - Significant and hands-on experience with Python and Java, with the ability to handle complex and sensitive architecture; - Fluent English (B2 or higher), both written and spoken; - Proven ability to deliver pixel-perfect UI with a sharp eye for detail, and extensive experience working with Figma; - Practical experience with WordPress maintenance and customization; - Excellent team player with a proven track record of working effectively alongside other developers, QA engineers, and product stakeholders; - Growth mindset with the ability to adapt quickly, deliver results efficiently, and leverage AI-powered tools to maximize productivity. Benefits - Fixed schedule: Sunday–Thursday, 09:00–18:00 (Asia/Jerusalem, GMT+3); - Fully remote work opportunity; - Inclusive and international environment; - Compensation in USD; - Supportive management focused on your growth and long-term collaboration.

• Build, test, debug, and deploy production-grade components and services powering our real-time sports betting and analytics products • Own the deployment and operation of your own services on Kubernetes within a larger platform — this is service ownership within a shared ecosystem, not cluster administration or a DevOps function • Proactively improve and extend our Rust codebase • Trace and resolve the root causes of data inaccuracies across pipeline dependencies and our Python codebase • Set up and maintain alerting, monitoring, and observability for the services you own • Build and maintain the shared frameworks and services that let our models scale in production, and accelerate their adoption across teams • Apply large-scale data processing techniques to build scalable, innovative sports betting products • Examine and improve the integration and scaling of our real-time operations, simulations, and experiments • Develop solutions for open-ended problems where information is incomplete and no precedent exists