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Open nowPosted 23 days ago

Senior Software Engineer

Autodesk170 open roles

Pay
$107,000 – $157,300 a year
Where
Toronto, ON, CAN
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Your applicationOpen nowSenior Software EngineerAutodesk · Toronto, ON, CAN

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The clock on this job

Early applications get read.

11.3% of postings close within 7 days. Measured by our own scanner across the market. Autodesk postings stay open a median of 34 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.3%7 days
  4. 17.6%14 days
  5. 34.3%30 days
  6. 43.5%60 days
This job: posted 23 days ago

Autodesk median: 34 days open

The posting

Job Requisition ID #

26WD101310

Position Overview

Autodesk’s Data Platform is building the next generation of data infrastructure, AI native, scalable, and developer-friendly systems that power analytics, AI, real-time insights, and customer-facing experiences across Autodesk.

To power this vision, we are hiring software engineers who build platforms. You are someone who learns quickly, moves decisively, and takes ownership of complex systems. You enjoy solving hard distributed systems problems, writing production-grade code, automating everything, and turning ambiguity into scalable architecture.

You will design and build APIs, streaming systems, control planes, automation frameworks, and developer-facing platform capabilities that enable thousands of engineers and data practitioners across Autodesk.

This is a high-impact engineering role with real architectural ownership.

Responsibilities

Build the Platform

  • Design and develop scalable APIs and microservices (REST, GraphQL, event-driven)
  • Build backend services using modern languages such as Go, Java, or Python
  • Develop full-stack capabilities when needed (React, micro-frontends) to enable platform usability
  • Architect and implement distributed systems that process millions of records across batch and real-time pipelines
  • Build and evolve streaming and ingestion systems using Kafka and Flink
  • Develop control-plane services for orchestration, workflow management, and metadata-driven automation
  • Design self-service infrastructure abstractions for storage, compute, and workflow provisioning

Engineer for Scale & Reliability

  • Build highly available, fault-tolerant distributed systems
  • Define SLAs/SLIs and drive observability across platform services
  • Implement strong testing, CI/CD, and modern, cloud-native practices
  • Drive performance optimization and system efficiency
  • Participate in on-call rotations and take operational ownership seriously

Automate Everything

  • Identify manual processes and replace them with resilient automation
  • Build intelligent workflow orchestration and scheduling systems
  • Improve deployment pipelines and reduce operational overhead
  • Leverage AI/LLMs and modern tooling to accelerate engineering productivity

Collaborate & Lead Technically

  • Partner with product managers, architects, data engineers, and ML teams to translate business needs into scalable systems
  • Contribute to architectural direction and technical strategy
  • Mentor engineers and raise the engineering bar through code reviews and design discussions
  • Promote engineering best practices, documentation discipline, and long-term maintainability

Minimum Qualifications

  • 5+ years of professional software engineering experience building production systems
  • Strong programming skills in Go, Java, or Python
  • Proven experience designing and building distributed systems or microservices architectures
  • Experience with cloud platforms (AWS preferred)
  • Experience building and consuming APIs (REST, GraphQL, event-driven)
  • Strong understanding of CI/CD, containerization, and cloud native infrastructure
  • Demonstrated ability to learn new technologies quickly and apply them effectively
  • Ownership mindset: you build it, you run it, you improve it

Preferred Qualifications

  • Experience with streaming technologies (Kafka, Flink)
  • Experience with big data ecosystems (Spark, Trino/Presto, Hive, EMR)
  • Experience building data platforms, storage systems, or orchestration engines (Airflow, Temporal)
  • Familiarity with data modeling, schema design, and large-scale data processing
  • Experience implementing observability and monitoring frameworks
  • Background in building developer platforms or internal tooling

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

This role may require in-person onboarding and/or in-person ID verification.

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