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Microsoft

Senior Software Engineer

Vancouver, BC, Canada

Pay: Software Engineering IC4 - The typical base pay range for this role across Canada is CAD $114,400 - CAD $203,900 per year.
Job type: Full-time
Posting language: English
Posted: Sep 25, 2026

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Original job description

Overview

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 Microsoft Fabric, the Azure Monitor team builds services that enable customers to monitor, detect, troubleshoot, and mitigate issues with their services through an increasingly agentic experience. Azure Monitor includes Log Analytics, Application Insights, Container Insights, Hosted Prometheus, Azure Managed Grafana, and more. Additionally, Azure Monitor is the platform upon which Microsoft Sentinel is built. We have a multi-billion dollar business that is growing rapidly, and we run some of the world’s highest scale observability services both for Microsoft internally and for our external customers, processing over 1.5 Exabytes of logs daily and tracking over 100 billion active metrics.

Within the Azure Monitor team, we are looking for a Senior Software Engineer to help build and evolve the Azure Monitor backend systems. This role is ideal for someone who can own complex, globally distributed systems end to end, drive architecture across teams, improve reliability and security at scale, and shape how AI-assisted and AI-agentic capabilities are safely applied to infrastructure operations. You will work on services that have to continue to scale for usage with the entire fleet, enabling telemetry scenarios for every workload.

We embrace a fast-paced, startup-like culture focused on shipping early and often, with an emphasis on attention to detail, introspection, and accountability. Collaboration is at the heart of our team. We build on each other's ideas and empower engineers to innovate from the ground up, delivering world-class value at speed. If you're passionate about building the systems that power Azure's observability and health at hyperscale and thrive in an environment that values creativity, collaboration, and technical excellence, we'd love to hear from you.

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, implement, test, deploy, and operate highly available distributed services and automation used to configure and migrate large-scale telemetry workloads that will be leveraged across the fleet.
Build and enhance APIs, tools, and subsystems for telemetry collection, routing, storage, and efficient data access.
Integrate advanced capabilities (e.g., machine learning–based anomaly detection and data validation) to enhance platform intelligence and insights.
Implement robust monitoring, alerting, and diagnostics and ensure production services run reliably, including participation in on-call rotations and incident response.
Collaborate with partner teams to deliver end-to-end observability solutions and contribute to design reviews and best practices that uphold high engineering standards.
Help evolve AI-assisted engineering practices by developing and sharing repeatable patterns that improve engineering productivity and quality. Apply AI capabilities to operational scenarios such as site reliability engineering, support, and service administration.
Mentor engineers, contribute to technical design reviews, and communicate clearly with cross-organization stakeholders about tradeoffs, risks, sequencing, and delivery.
Embody our culture and values

Qualifications

Required/Minimum Qualifications

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.

Job Requirements: Other & Additional

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 with cloud-native infrastructure, distributed systems, or large-scale production services.
Experience improving reliability, security, observability, networking, or operational excellence for live services.
Experience partnering across teams to deliver infrastructure capabilities with clear ownership and supportability.
Experience mentoring engineers, leading design reviews, and driving cross-team architectural alignment.

Software Engineering IC4 - The typical base pay range for this role across Canada is CAD $114,400 - CAD $203,900 per year.

Find additional pay information here:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Software Engineering IC4 - L'échelle salariale de base typique pour ce rôle dans l'ensemble du Canada est de 114,400 $ CAD à 203,900 $ CAD par année.

Pour plus d'information au sujet de la rémunération, veuillez cliquer ici:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Ce poste sera ouvert pendant au moins cinq jours et les candidatures seront acceptées de façon continue jusqu’à 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 l’égalité d’accès à l’emploi. Tous les candidats qualifiés seront pris en considération pour l’emploi, sans égard à l’âge, à l’ascendance, à la citoyenneté, à la couleur, aux congés médicaux ou familiaux, à l’identité ou à l’expression de genre, aux renseignements génétiques, à l’état d’immigration, à l’état matrimonial, à l’état de santé, à l’origine nationale, à un éventuel handicap physique ou mental, à l’affiliation politique, au statut de vétéran protégé ou au statut militaire, à la race, à l’ethnie, à la religion, au sexe (y compris la grossesse), à l’orientation sexuelle ou à toute autre caractéristique protégée par les lois, ordonnances et règlements locaux applicables. Si vous avez besoin d’aide avec des accommodements religieux et/ou d’un accommodement raisonnable en raison d’un handicap pendant le processus de candidature, apprenez-en plus sur la demande d’accommodement.

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.

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More about this job

Responsibilities

Design, implement, and operate highly available distributed services for large-scale telemetry workloads. Collaborate with partner teams to deliver observability solutions while applying AI capabilities to enhance platform intelligence and operational reliability.

Requirements

Requires a Bachelor's degree in Computer Science or a related field and at least 4 years of technical engineering experience. Candidates must be proficient in languages such as C, C++, C#, Java, JavaScript, or Python and pass a Microsoft Cloud background check.

Skills

Distributed systems
Cloud-native infrastructure
Telemetry
C
C++
C#
Java
JavaScript
Python
Machine learning
Anomaly detection
Site reliability engineering
API development
Observability
Data validation
System architecture

Visa sponsorship

Not detected in the job text

Keywords

Azure
Microsoft Fabric
Distributed Systems
Telemetry
Observability
Cloud-native
C
C++
C#
Java
JavaScript
Python
Machine Learning
Anomaly Detection
Site Reliability Engineering
API
Data Engineering
Infrastructure
Scalability
Monitoring
Alerting
Diagnostics
Automation
Software Engineering
Cloud Computing
System Design
Backend
Data Platform
AI-assisted engineering
Reliability

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