Job Title

OverviewMicrosoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. Microsofts Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data - structured, semi-structured, and unstructured. We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric. Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. Microsofts Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data - structured, semi-structured, and unstructured. We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric. The Fabric Data Engineering Experience & Infrastructure team is looking for a passionate engineer to help build the next generation of infrastructure services for Microsoft Fabric Data Engineering, powered by Apache Spark. If you enjoy working on high-scale distributed systems, developer experiences, and platform infrastructure that makes engineers more productive, this is a great place to do it. What youll work on: Build and operate core infrastructure services that power Fabric Data Engineering on SparkImprove scalability, resiliency, and observability across Spark-based servicesPartner closely with product, client/UX, and runtime teams to ship end-to-end experiencesDrive engineering excellence through design reviews, testing, incident learnings, and performance tuningIntelligent job/session orchestration and scheduling improvementsRuntime performance optimizations (caching, adaptive execution, cost/perf tuning)Debuggability & observability (logs/metrics/traces, diagnostics experiences)Reliability tooling (auto-heal, safe rollouts, incident reduction)Data engineering developer experience improvements (config, templates, integrations) What were looking for: Software engineering fundamentals and experience shipping production servicesComfort working with distributed systems and performance-critical codeExperience with Spark and/or big data systems is a big plus (but not required if youre eager to learn)Collaborative mindset and ownership mentality-someone who likes building, iterating, and improving systems over time We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served. Responsibilities Design and develop world-class experiences for a new big data cloud offering, with an emphasis on scale, reliability, and performance. Build and evolve core infrastructure services that power data engineering and analytics workloads (compute, runtime services, job/session management, configuration, and platform integrations). Drive technical design and implementation end-to-end: translate requirements and documentation into robust production code. Troubleshoot and improve systems using source code analysis and production instrumentation (logs, metrics, traces), and turn operational learnings into engineering improvements. Improve platform scalability, resiliency, and observability, including automation to reduce operational toil. Partner closely with product and engineering teams to deliver end-to-end features and continuously raise the quality bar. Embody our culture and values QualificationsRequired/Minimum QualificationsBachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.Additional Job Requirements:Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred/Additional Qualifications: Experience designing and operating large-scale infrastructure for data platforms or compute services (e.g., job orchestration, runtime services, cluster/resource management, multi-tenant systems). Experience with observability and operational excellence (SLOs/SLIs, alerting, incident response, postmortems). Performance and reliability engineering experience (profiling, optimization, capacity planning, cost/performance tradeoffs). Familiarity with modern cloud-native patterns (service ownership, CI/CD, safe deployments, automation). Software engineering fundamentals (data structures, algorithms, testing, debugging, performance). Experience building and shipping production infrastructure (backend services, distributed systems, or platform components) in a cloud environment. Solid understanding of distributed systems concepts: fault tolerance, scaling, scheduling, and resource management. Proficiency in one or more backend/system languages (e.g., Java, Scala, C#, C++, or Python). Quick learner with a growth mindset-able to ramp up rapidly in new domains, tools, and codebases. Ability to thrive in an AI-powered engineering environment: comfortable adopting AI-assisted workflows (e.g., copilots/agents), iterating quickly, and continuously improving productivity and quality. #azdat #azuredata #analytics Software Engineering IC3 - The typical base pay range for this role across Canada is CAD $85,000 - CAD $166,800 per year. Find additional pay information here:Engineering IC3 - L'chelle salariale de base typique pour ce rle dans l'ensemble du Canada est de 85,000 $ CAD 166,800 $ CAD par anne. Pour plus d'information au sujet de la rmunration, veuillez cliquer ici:poste sera ouvert pendant au moins cinq jours et les candidatures seront acceptes de faon continue jusqu ce que le poste soit pourvu.This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.Microsoft est un employeur offrant lgalit daccs lemploi. Tous les candidats qualifis seront pris en considration pour lemploi, sans gard lge, lascendance, la citoyennet, la couleur, aux congs mdicaux ou familiaux, lidentit ou lexpression de genre, aux renseignements gntiques, ltat dimmigration, ltat matrimonial, ltat de sant, lorigine nationale, un ventuel handicap physique ou mental, laffiliation politique, au statut de vtran protg ou au statut militaire, la race, lethnie, la religion, au sexe (y compris la grossesse), lorientation sexuelle ou toute autre caractristique protge par les lois, ordonnances et rglements locaux applicables. Si vous avez besoin daide avec des accommodements religieux et/ou dun accommodement raisonnable en raison dun handicap pendant le processus de candidature, apprenez-en plus sur la demande daccommodement.Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.