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Autodesk

Senior Software Engineer

Toronto, ON, Canada
AMER - Canada - Ontario - Toronto - University Ave, Canada

Pay: For Canada based roles, we expect a starting base salary between $107,000 and $157,300.
Job type: Full-time
Experience: 5+ years of professional software engineering experience building production systems
Posting language: English
Posted: Sep 28, 2026

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Original job description

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.

Apply About employer

More about this job

Responsibilities

You will design and build scalable APIs, microservices, and distributed systems to power Autodesk's data infrastructure and AI-native platforms. Additionally, you will drive operational excellence by implementing automation, observability, and performance optimizations across the platform.

Requirements

Candidates must have at least 5 years of professional software engineering experience with strong proficiency in Go, Java, or Python. You should also possess proven experience in designing distributed systems, working with cloud platforms like AWS, and managing CI/CD pipelines.

Skills

Go
Java
Python
Distributed systems
Microservices
AWS
REST
GraphQL
Kafka
Flink
CI/CD
Cloud-native
Observability
System architecture
Automation
Data platforms

Benefits

Annual cash bonuses
Commissions
Stock grants

Visa sponsorship

Not detected in the job text

Keywords

Software Engineering
Data Platform
Distributed Systems
Microservices
Go
Java
Python
AWS
REST
GraphQL
Kafka
Flink
CI/CD
Cloud-native
Observability
Automation
Orchestration
Airflow
Temporal
Spark
Trino
Hive
EMR
Data Modeling
Scalability
Reliability
API Design
Infrastructure
AI
Analytics

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