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Added 11 mins ago
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Microsoft

Senior Software Engineer - Backend

Vancouver, BC, Canada

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

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Job details

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: Oct 20, 2026

Original job description

Overview

At the core of Microsoft Ads is a mission-critical, high-throughput real-time bidding (RTB) platform. It processes millions of auction requests per second, executes complex auction logic under strict latency constraints, and directly impacts revenue, win rate, partner satisfaction, and platform reliability.

This role owns core architectural and technical evolution of the platform, focusing on modernization, performance, scalability, experimentation infrastructure, and operational excellence. The position requires deep expertise in low-latency distributed systems, solid leadership in large-scale refactoring and platform modernization, and close collaboration across engineering, data science, experimentation, and business stakeholders.

The engineer in this role drives initiatives with company-level impact, ensuring our platform can continue to scale, evolve, and support future Microsoft Ads growth.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

Own technical direction and execution for core components, a high-scale, latency-sensitive real-time bidding service at the heart of Microsoft Ads.
Lead design and implementation of scalable, high-performance backend systems operating under strict latency and reliability requirements.
Drive platform modernization and long-term sustainability of critical services, improving code quality, maintainability, and operational safety.
Ensure performance, scalability, and stability of the service as traffic, data volume, and business requirements continue to grow.
Define and evolve instrumentation, observability, and experimentation capabilities to support data-driven decision making and safe production changes.
Collaborate closely with cross-functional partners (engineering, data science, experimentation, product, and infrastructure) to align technical solutions with business goals.
Provide technical leadership and mentorship, influencing architecture decisions and engineering best practices across teams.

Qualifications

Required 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.

Preferred Qualifications:

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 working on high-throughput, production systems where scalability, latency, and stability are critical.
Demonstrated ability to design, evolve, and maintain complex systems over time.
Experience collaborating with cross-functional teams to deliver solutions aligned with business needs.
Problem-solving skills and ability to analyze and address performance or reliability issues in production environments.
Experience with real-time bidding systems, ad tech, or high-frequency decision systems.
Familiarity with experimentation platforms, A/B testing, or traffic shaping systems.
Experience working with ML-driven decision systems or integrating models into production pipelines.
Exposure to large-scale data processing or feature pipelines.
Experience with cloud environments and modern deployment practices.

#MicrosoftAI

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

The engineer will lead the technical direction and architectural evolution of a high-throughput, real-time bidding platform. They will collaborate with cross-functional teams to ensure system performance, scalability, and reliability while driving modernization initiatives.

Requirements

Candidates must have a bachelor's degree in a technical field and at least 4 to 8 years of engineering experience depending on the degree level. Proficiency in languages like C++, C#, or Java and experience with high-scale, low-latency production systems are required.

Skills

C
C++
C#
Java
JavaScript
Python
Distributed systems
Real-time bidding
Scalability
Latency optimization
System architecture
Machine learning
Data processing
Cloud environments
Observability
Experimentation

Visa sponsorship

Not detected in the job text

Keywords

Software Engineering
Backend
Real-time bidding
RTB
Distributed systems
Latency
Scalability
C
C++
C#
Java
JavaScript
Python
Machine learning
Data science
Experimentation
A/B testing
Cloud
Observability
Instrumentation
Ad tech
High-frequency decision systems
Feature pipelines
Refactoring
Operational excellence
Microsoft Ads
Technical leadership
Mentorship
System design
Production pipelines

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