Design, develop, and maintain scalable platform capabilities and frameworks supporting AI, agentic, experimentation, and data workloads. Build self-service and agent-assisted experiences that simplify experimentation workflows, onboarding, governance, and standardization. Contribute to AI-assisted software development experiences using coding agents, agentic workflows, and related engineering approaches. Collaborate with engineering, product, and data science teams to define requirements, evaluate technical tradeoffs, and deliver end-to-end solutions. Improve the reliability, scalability, performance, observability, and maintainability of services through engineering best practices. Participate in technical design and code reviews and contribute to the evolution of the platform architecture. Embody our culture and values. Bachelor's Degree in Computer Science or related technical field 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. Production big data platform experience, including streaming pipelines, platform capabilities, state management, checkpointing, connectors, or performance tuning. These requirements include but are not limited to the following specialized security screenings:



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. Online experimentation experience including scorecard generation, optimization, live site protection and standarization. Experience with Spark, Kafka, Airflow, distributed storage, analytical systems, or near-real-time data pipelines. Experience with Copilot, Agent, LLM orchestration, retrieval, evaluation, or agent-assisted engineering and data workflows. Domain knowledge in distributed tracing, observability, production diagnostics, telemetry systems, or service reliability. Experience building large-scale distributed systems, cloud services, or enterprise platforms. Proficiency in one or more programming languages such as C#, C++, Java, Python, or JavaScript. Experience designing reliable, highly available production services. Solid problem-solving skills with the ability to navigate ambiguity and drive technical decisions. Proven ability to collaborate across teams and influence technical direction. Passion for innovation, customer impact, and building services that operate at global scale.

📌 Senior Software Engineer (Vancouver)
🏢 Microsoft
📍 Vancouver