Senior Software Engineer Job at Microsoft Corporation (Vancouver)

Senior Software Engineer

Microsoft Corporation

Location:
Canada , Vancouver

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

114400.00 - 203900.00 CAD / Year

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Job Description:

Microsoft’s 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 hiring a AI Engineer to help build LLM-powered data engineering experiences and infrastructure for Fabric Data Engineering, based on Apache Spark. You will help implement agentic workflows and scalable LLM-backed data features (e.g., AI Functions integration, notebook copilots, evaluation/telemetry etc) with advanced capabilities designed to help Data Engineers achieve more through Microsoft Fabric.

Job Responsibility:

Design, build, and ship scalable backend services and/or libraries in Python that power Fabric Data Engineering and Data Science experiences
Develop LLM-enabled capabilities (prompting patterns, tool/function calling, RAG/grounding, orchestration/agents) with strong attention to latency, reliability, and cost
Build robust data pipelines and distributed compute solutions (Spark/PySpark) to support model/data workflows, feature generation, and large-scale analytics
Define evaluation strategies for LLM features (offline/online metrics, quality gates, safety checks), and implement telemetry/monitoring to continuously improve quality
Apply Responsible AI and security/privacy best practices (data handling, governance, access controls) when integrating AI into customer-facing products
Collaborate with PMs and partner engineering teams to translate scenarios into clear technical designs and incremental deliverables
Maintain and operate services in production, participate in on-call/incident response, and drive improvements in operational excellence
Review code and designs, mentor peers through constructive feedback, and contribute to engineering best practices across the team
Embody our culture and values

Requirements:

Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
4+ years experience in Frontend + UX engineering skills: React + TypeScript, accessibility, performance, and building user-centered flows
4+ years experience in Backend / full-stack fundamentals: service/API design, debugging distributed systems, reliability/operability, and production ownership
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

Nice to have:

Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
Experience building and operating cloud services (Azure preferred), including telemetry, monitoring, experimentation/rollout strategies, and cost/latency awareness
Experience with data engineering concepts and systems (e.g., Spark, notebooks, lakehouse-style workflows) and the needs of professional data engineers
Understanding of modern AI/LLM-assisted product patterns (tool use, grounding, evaluation mindset, trust/safety guardrails) and how to ship these experiences
Ability to collaborate across disciplines (PM, Design, Research, partner engineering teams) and drive ambiguous problems to crisp execution

Additional Information:

Job Posted:
March 03, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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