• Take full end-to-end ownership of our observability stack, ensuring it remains resilient, scalable, and capable of supporting our rapid growth • Evolve and maintain a cloud-native infrastructure based on Kubernetes, ensuring that our foundation is always at the state-of-the-art • Bridge the gap between complex infrastructure and developer experience, building the necessary abstractions so teams can manage their own observability lifecycle seamlessly • Contribute to establishing and maintaining standards, guidelines, and best practices, and formalize them through processes like RFCs (Request for Comments). • Live the mission: inspire and empower others by genuinely caring for your own well-being and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life balance.

• Responsible for designing, architecting, and implementing modern, secure Azure AI platforms. • Act as an enabler for Data Science teams, building the "paved road" that allows them to deploy Azure ML Workspaces. • Utilize Azure AI Foundry and ship GenAI services to production securely and efficiently.

• As a Senior Software Engineer at YLD, you’ll be part of a client team building innovative products. • We’re looking for someone curious, passionate, driven, and enthusiastic. • You should be skilled in problem-solving and experienced in designing scalable, resilient, and fault-tolerant architectures. • You’re also an effective communicator and a strong team player. • Together with your team, you’ll thrive in a fast-paced engineering environment, delivering outstanding results and exciting projects.

• Data ecosystem onboarding: Get familiar with how our services, databases, and data warehouse are structured and interact. • Data quality contribution: Start contributing to data quality initiatives like the Talent Graph (our version of a knowledge graph, mapping relationships between projects in Float with people and their attributes). Your focus will be on making our data more accurate, actionable, and future-ready. • CDC initiative support: Join CDC-related efforts including real-time transformations and implementing Data Contracts for improved consistency and maintainability. • CDC ownership and evolution: Take the lead on CDC-related initiatives, contributing to long-term planning and system resilience across our platform. • Platform-driven data quality leadership: Own data quality initiatives from the platform side, introducing observability, reducing regressions, and improving trust in downstream data. • Data warehouse maintenance and support: Help maintain and evolve our analytics data warehouse, supporting migrations and performance improvements in collaboration with the Data team. • Architectural improvement proposals: Identify and drive improvements to our data architecture, focusing on scalability, consistency, and future platform needs.