Experteer Overview In this role you will design and operate large-scale, production-grade services on Azure to power AI-powered search experiences. You will build data pipelines, streaming and batch processing, and AI-enabled components that scale globally with reliability and cost efficiency. You’ll work alongside applied scientists, product managers, and partner teams to deliver end-to-end solutions. This is a hands-on, deeply technical position at the edge of AI agents and large-scale systems. You will contribute to Microsoft’s mission of trusted, intelligent search for users worldwide.Compensaciones / Beneficios - Design, build, and operate high-scale, production-grade services on Azure for data ingestion, transformation, storage, and serving - Develop AI-native systems leveraging state-of-the-art AI and LLM technologies to improve engineering efficiency and automate workflows - Build and maintain high-throughput data streaming and large-scale batch processing pipelines for AI workloads with strong reliability, performance, and security guarantees - Write high-quality, testable, maintainable code;
participate in code reviews;
ensure diagnosability, reliability, security, and long-term operability in designs - Apply security, privacy, compliance, and responsible AI principles across systems and pipelines with least-privilege access and proper auditing - Collaborate with cross-functional teams including software engineers, applied scientists, product managers, and partner teams to deliver end-to-end solutions - Adapt to new problem spaces, contribute across multiple domains, and present technical work and trade-offs to stakeholders, including senior leadershipResponsabilidades - Bachelor's Degree in Computer Science or related field and hands-on experience in coding (C, C++, C#, Java, JavaScript, or Python) or equivalent experience - Experience designing and building scalable distributed systems and AI-powered production services - Familiarity with cloud platforms and deploying/troubleshooting cloud-hosted services - Experience working in large engineering teams with documentation, code reviews, and cross-disciplinary collaborationRequisitos principales -