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Senior Software Developer, Data Infrastructure

Toronto, ON, CAN

Pay
$107,000–157,300/year · BaseAnnual period assumed · Location-specific pay — pay source
Salary transparency Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $107,000 and $157,300. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging In-Person Onboarding and Identity Verification
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Work setup
Unconfirmed
Employment
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What you’ll work on

Full posting
  • You will work on backend services, APIs, automation, and developer-facing capabilities that make DataOS easier to use, operate, and scale.

  • Design, build, and operate backend services, APIs, and platform components.

  • Create abstractions that simplify access to compute, storage, orchestration, and tenant resources.

From the employer’s posting
Software Engineer, DataOS Infra Platform — P3 Position Overview Autodesk’s Analytics Data division is building DataOS, a modern platform that powers analytics and data workloads across Autodesk. The DataOS Infra Platform team builds the foundational services that help teams provision and operate compute, storage, orchestration, and other data infrastructure through secure and reliable self-service experiences. We are looking for an experienced software engineer who enjoys building platforms, solving infrastructure problems, and improving the experience of other developers. You will work on backend services, APIs, automation, and developer-facing capabilities that make DataOS easier to use, operate, and scale. This is a hands-on role with meaningful ownership of production systems and platform capabilities. Responsibilities
Responsibilities Design, build, and operate backend services, APIs, and platform components. Create abstractions that simplify access to compute, storage, orchestration, and tenant resources.
Design, build, and operate backend services, APIs, and platform components. Create abstractions that simplify access to compute, storage, orchestration, and tenant resources. Build automation for provisioning, configuration, deployment, and operational recovery.

What you’ll bring

All qualifications

Core experience

  • 5 or more years of professional software engineering experience.
  • Experience building backend services, APIs, microservices, or distributed systems.
  • Experience working with cloud infrastructure, preferably AWS.
  • Familiarity with automated testing, CI/CD, containers, and production operations.
  • Ability to independently deliver and operate moderately complex technical capabilities.
  • Strong communication, collaboration, and problem-solving skills.

Preferred experience

  • Experience building data platforms, infrastructure platforms, or internal developer tools.
  • Experience with Kubernetes or infrastructure-as-code technologies.
  • Experience with technologies such as Kafka, Flink, Spark, Trino, EMR, Airflow, or Temporal.
  • Experience with observability, service-level objectives, or production reliability.
Qualification wording
5 or more years of professional software engineering experience.
Experience building backend services, APIs, microservices, or distributed systems.
Experience working with cloud infrastructure, preferably AWS.
Familiarity with automated testing, CI/CD, containers, and production operations.
Ability to independently deliver and operate moderately complex technical capabilities.
Strong communication, collaboration, and problem-solving skills.
Experience building data platforms, infrastructure platforms, or internal developer tools.
Experience with Kubernetes or infrastructure-as-code technologies.
Experience with technologies such as Kafka, Flink, Spark, Trino, EMR, Airflow, or Temporal.
Experience with observability, service-level objectives, or production reliability.

Tools in this posting

  • Go
  • Java
  • Python
  • Kafka
  • Kubernetes
  • Spark
  • Trino
  • Airflow
  • AWS
Source — Tool mentions in context
- 5 or more years of professional software engineering experience. - Strong programming skills in Go, Java, Python, or a similar language. - Experience building backend services, APIs, microservices, or distributed systems.
- Experience with Kubernetes or infrastructure-as-code technologies. - Experience with technologies such as Kafka, Flink, Spark, Trino, EMR, Airflow, or Temporal. - Experience with observability, service-level objectives, or production reliability.
- Experience building data platforms, infrastructure platforms, or internal developer tools. - Experience with Kubernetes or infrastructure-as-code technologies. - Experience with technologies such as Kafka, Flink, Spark, Trino, EMR, Airflow, or Temporal.
- Experience building backend services, APIs, microservices, or distributed systems. - Experience working with cloud infrastructure, preferably AWS. - Familiarity with automated testing, CI/CD, containers, and production operations.

About Autodesk

We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

In the employer’s words · Read in context

Job description

View original posting ↗

Job Requisition ID #

26WD96510

Software Engineer, DataOS Infra Platform — P3

Position Overview
Autodesk’s Analytics Data division is building DataOS, a modern platform that powers analytics and data workloads across Autodesk.
The DataOS Infra Platform team builds the foundational services that help teams provision and operate compute, storage, orchestration, and other data infrastructure through secure and reliable self-service experiences.
We are looking for an experienced software engineer who enjoys building platforms, solving infrastructure problems, and improving the experience of other developers. You will work on backend services, APIs, automation, and developer-facing capabilities that make DataOS easier to use, operate, and scale.
This is a hands-on role with meaningful ownership of production systems and platform capabilities.

Responsibilities

  • Design, build, and operate backend services, APIs, and platform components.

  • Create abstractions that simplify access to compute, storage, orchestration, and tenant resources.

  • Build automation for provisioning, configuration, deployment, and operational recovery.

  • Improve platform reliability, observability, security, and cost efficiency.

  • Develop self-service workflows and tools for analytics and data teams.

  • Contribute to distributed systems supporting batch, streaming, and interactive workloads.

  • Partner with product managers, architects, data engineers, and platform users to deliver practical solutions.

  • Participate in design reviews, code reviews, documentation, and on-call support.

  • Take ownership of capabilities from design through production operation.

Minimum Qualifications

  • 5 or more years of professional software engineering experience.

  • Strong programming skills in Go, Java, Python, or a similar language.

  • Experience building backend services, APIs, microservices, or distributed systems.

  • Experience working with cloud infrastructure, preferably AWS.

  • Familiarity with automated testing, CI/CD, containers, and production operations.

  • Ability to independently deliver and operate moderately complex technical capabilities.

  • Strong communication, collaboration, and problem-solving skills.

Preferred Qualifications

  • Experience building data platforms, infrastructure platforms, or internal developer tools.

  • Experience with Kubernetes or infrastructure-as-code technologies.

  • Experience with technologies such as Kafka, Flink, Spark, Trino, EMR, Airflow, or Temporal.

  • Experience with observability, service-level objectives, or production reliability.

  • Experience improving infrastructure automation, security, or cloud cost efficiency.

  • Familiarity with building simple user interfaces or developer portals.

Who You Are

  • You enjoy building reusable solutions that help other teams move faster.

  • You are comfortable working through ambiguity and learning new technologies.

  • You care about clean APIs, reliable systems, and thoughtful automation.

  • You balance delivering value with building maintainable systems.

  • You take responsibility for the systems you build and operate.

  • You collaborate well and help raise the engineering quality of the team.

What Success Looks Like

  • Teams can complete common infrastructure workflows through clear self-service experiences.

  • Platform services become easier to operate, understand, and trust.

  • Manual work and recurring support requests decrease through automation.

  • Reliability, security, and cost visibility improve over time.

  • You independently own and improve meaningful areas of the DataOS platform.

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $107,000 and $157,300. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging


In-Person Onboarding and Identity Verification

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Source & posting history

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Pay
Salary transparency Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $107,000 and $157,300. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging In-Person Onboarding and Identity Verification
Location & working pattern

Toronto, ON, CAN

Working pattern and location restrictions need checking in the full posting.

Work authorization

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Status in our records
Active
First seen by us
Apr 20, 2026
Recorded sightings
236
Last seen by us
Oct 8, 2026

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