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Added 15 mins ago
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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
Experience: 2+ years of experience building and operating distributed, highly scalable online services on Kubernetes in Azure or a similar cloud platform.
Posting language: English
Posted: Sep 17, 2026

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Original job description

Overview

Microsoft's Azure Data engineering team is building the data platform for the age of AI, powering a new generation of data-driven applications and intelligent experiences. Within the Databases organization, we deliver trusted, scalable, AI-ready database services that power mission-critical workloads across cloud, hybrid, and on-premises environments.

The Azure Managed Redis (AMR) team delivers a fully managed, enterprise-grade Redis experience to customers worldwide. We partner closely with Redis Inc. to bring the latest Redis Enterprise capabilities to Azure and operate one of the largest Redis fleets on the planet. Azure Managed Redis powers modern low-latency applications ranging from AI inference caching and real-time analytics to globally distributed session stores and mission-critical workloads.

We're expanding our service footprint, modernizing our orchestration and deployment platforms, and accelerating engineering velocity while continuing to raise the bar for reliability and quality. As a Senior Software Engineer, you will help design and build cloud-scale distributed systems, improve operational excellence across the service, and contribute to infrastructure that serves customers around the world.

Responsibilities

Contribute to the architecture, design, and implementation of runtime infrastructure for Azure Managed Redis, a rapidly growing Azure data service.
Design and build deployment, upgrade, and orchestration systems for distributed Redis clusters running across Azure regions worldwide.
Integrate Redis Enterprise software into Azure's managed environment while maintaining high availability, data consistency, security, and performance.
Develop platform capabilities that improve scalability, operational efficiency, deployment safety, and service reliability.
Write high-quality, production-grade code in languages such as C# and Go while following best practices for maintainability, testing, and operational excellence.
Design and implement testing strategies with coverage across unit, integration, and end-to-end scenarios for distributed systems.
Apply AI-assisted engineering tools and techniques to improve developer productivity, troubleshooting, operational workflows, and service quality.
Build and enhance observability, monitoring, and diagnostics capabilities to enable efficient incident detection and root cause analysis.
Drive improvements in reliability, supportability, and operational excellence across the service.
Collaborate across engineering teams to deliver complex technical initiatives and shared platform capabilities.
Mentor and support engineers by sharing knowledge of distributed systems, cloud-native architectures, and software engineering best practices.
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 is required for this role. These requirements include, but are not limited to, the following specialized security screening:

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

Master's Degree in Computer Science or related technical discipline 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.
2+ years of experience building and operating distributed, highly scalable online services on Kubernetes in Azure or a similar cloud platform.
Experience using AI-assisted development tools, large language models, or automation technologies to improve software engineering workflows, developer productivity, testing, documentation, or operational efficiency.
Demonstrated ability to improve engineering systems, developer productivity, service reliability, or product quality at scale.

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

You will design and build cloud-scale distributed systems and orchestration platforms for Azure Managed Redis. Additionally, you will collaborate across teams to improve service reliability, operational excellence, and developer productivity.

Requirements

Candidates must have at least 4 years of technical engineering experience with proficiency in languages such as C#, Go, C++, or Java. A bachelor's degree in Computer Science or a related technical field is required, along with experience in distributed systems.

Skills

C#
Go
Distributed Systems
Azure
Redis
Kubernetes
Cloud Computing
Software Architecture
System Design
Observability
Monitoring
Data Engineering
Reliability Engineering
API Development
Performance Optimization
AI-assisted Engineering

Visa sponsorship

Not detected in the job text

Keywords

Azure
Redis
Distributed Systems
C#
Go
Kubernetes
Cloud-native
Orchestration
Scalability
Reliability
Observability
Data Engineering
AI-assisted Engineering
Software Engineering
Infrastructure
Deployment
Performance
Security
Diagnostics
Automation
Cloud Platform
System Architecture
Production-grade Code
Integration Testing
Root Cause Analysis
Operational Excellence
Mentorship
Azure Managed Redis
Large Language Models
Data-driven Applications

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