Role Description 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. - Building, maintaining, and scaling the analytics platform infrastructure that underpins analytics, data science, and reporting capabilities; - Designing and managing data ingestion pipelines, ensuring reliable and timely flow from multiple sources; - Implementing and maintaining containerized environments with Docker and orchestration with Kubernetes; - Supporting continuous integration and delivery of platform components using GitHub Actions; - Collaborating closely with Analytics Engineers, Data Scientists, and Analysts to deliver scalable, high-performance solutions; - Monitoring platform performance, identifying bottlenecks, and implementing improvements for reliability and efficiency; - Participating in team knowledge-sharing sessions, demos, and internal workshops to promote best practices. Qualifications - Proven commercial experience in Azure or other cloud platforms; - Strong proficiency in Python for scripting, automation, and pipeline development; - Experience with data ingestion and orchestration tools, e.g., Airbyte, Snowflake, or similar; - Experience with containerization (Docker) and orchestration (Kubernetes); - Familiarity with CI/CD pipelines and infrastructure automation (GitHub Actions or equivalent); - Experience with Infrastructure as Code tools such as Terraform; - Exposure to dbt or similar data transformation tooling is a plus; - Understanding of distributed systems, cloud infrastructure, and platform scalability; - Strong problem-solving skills and the ability to debug production issues under pressure; - Comfortable working in cross-functional teams and collaborating with multiple stakeholders. Requirements - Self-motivated, proactive and always looking for ways to improve and develop yourself; - A good communicator, both in writing and verbally. You’ll be able to explain technical ideas and concepts in business-friendly language; - Detail oriented; - Possess strong problem-solving skills that balance innovation with pragmatic technology choices to solve business needs; - Used to working in a team-oriented, collaborative environment; - Analytical and problem-solving-oriented; - A genuine believer in diversity and fairness. Benefits - Company Private Health care - Enhanced fully paid maternity and paternity leave for up to 6 months - Pension scheme (UK) - 25 days annual holiday (excluding Public Holidays) - £/€2000 annual learning and development budget for training courses and conferences - £/€300 annual allowance for additional hardware - Mental Health support: access to Oli app - Discretionary Bonus (depending on Company performance and results) - Generous referral schemes

• Desarrollo de interfaces: Diseñar e implementar integraciones con diversos sistemas empresariales (SAP, Microsoft 365, JIRA y plataformas ITSM como ServiceNow, Assyst o Valuemation). • Bases de datos gráficas: Modelar, almacenar y procesar datos en bases de datos gráficas (trabajando con nodos, aristas, objetos y verbos). • Mapeo de datos y ontologías: Diseñar e implementar mapeos desde sistemas fuente hacia una ontología objetivo. • Desarrollo backend: Construir y mantener microservicios en GoLang, desarrollar APIs REST e integrarse con bases de datos SQL/NoSQL. • Contenedores y Kubernetes: Desarrollar y desplegar aplicaciones usando Docker y Kubernetes. • Calidad y agilidad: Asegurar la calidad del software mediante pruebas unitarias, de sistema e integración, y colaborar activamente en un equipo ágil Scrum.

• Hands-on development and architecture work within the team (C#/.NET) • Active participation as a developer in the sprint, including independently implementing features and bug fixes • Taking on more complex technical tasks and solving architectural challenges in day-to-day team work • Contributing to architectural decisions within the team, e.g., regarding modularization, interfaces and security • Active involvement in the further development of our core systems (C#/.NET, MS SQL) toward resilient, containerized services in a Kubernetes cluster • Considering non-functional requirements such as observability, performance, scalability, security and deployment • Providing technical support in refinement, including clearly explaining complex technical issues to Product Managers • CI/CD, code reviews & clean code • Actively contributing to the expansion and optimization of CI/CD pipelines (GitHub Actions, ArgoCD, Azure DevOps) and to the establishment of clean code practices, code reviews and automated tests (unit & system tests) with a clear shift-left mindset • Contributing to shorter development cycles and more reliable deployments within the team • Promoting shared knowledge rather than siloed expertise: you ensure that knowledge is accessible across the team, documented and not tied to individuals • Contributing to structured, clear and up-to-date process and system documentation • Developing practical best-practice guidelines and technical standards with a focus on quality and efficiency • Providing technical mentorship and coaching to developers in the areas of architecture, clean code and systems thinking, without disciplinary responsibility • Supporting the onboarding of new team members through technical input and knowledge transfer • Encouraging continuous learning and constructive professional exchange within the team • Close coordination with the Engineering Manager on technical questions and the team’s technical direction

Role Description As a Staff Backend Engineer, you'll design and build the core infrastructure powering intelligent decision-making across millions of insurance workflows. Working on the Core Backend team, you'll develop distributed services, scalable data models, APIs, and backend systems that transform fragmented data into explainable AI-driven decisions. This is a high-ownership engineering role for someone who enjoys solving difficult backend challenges, building highly reliable systems, and shipping production software with real business impact. What You'll Do - Design and build scalable backend services using Python - Architect distributed systems and high-performance APIs - Develop data models and processing pipelines for large-scale AI applications - Build asynchronous workflows and cloud-native backend infrastructure - Improve system reliability, scalability, and observability - Design robust PostgreSQL data architectures - Collaborate closely with AI, Product, and Infrastructure teams - Participate in technical architecture decisions and engineering best practices - Continuously improve developer productivity and platform performance Qualifications - 8+ years of software engineering experience (exceptional 5+ year candidates with Staff-level impact are encouraged to apply) - Strong professional Python development experience - Excellent system design, architecture, debugging, and problem-solving skills - Experience building distributed backend systems - Hands-on experience with AWS, serverless technologies (Lambda, EC2), and cloud-native architectures - Experience with asynchronous processing and event-driven systems - Strong PostgreSQL or relational database expertise - Builder mindset with high ownership and the ability to drive projects independently - Excellent communication skills and comfort working in a fast-moving engineering environment - EU-based with existing work authorization Nice to Have - LLM or Generative AI experience - Large-scale distributed systems - Platform Engineering or SRE background - AI infrastructure or ML platform experience - Top-tier product company or big-tech experience - Competitive programming or strong Computer Science background Benefits - Competitive salary plus meaningful equity - Fully remote work across EU - Global engineering off-sites - Learning and development budget - Gym and wellness stipend - Mobile phone allowance - 20 days paid annual leave - Opportunity to build AI infrastructure transforming a $7T global industry - High-performing, collaborative engineering culture with exceptional technical talent - Build the backend systems powering the next generation of enterprise AI and help transform one of the world's largest industries