- Autodesk Canada Co.
- Toronto, ON
- Full-Time
- 7 days ago
Senior Software Engineer.
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Senior Software Engineer: our view in 3 lines...
- The Role:Senior software engineer role focused on building Autodesk’s data platform infrastructure, APIs, streaming systems, and developer-facing platform capabilities.
- The Person:The person will design and build APIs, microservices, streaming and ingestion systems, control planes, automation frameworks, and distributed systems, while also handling observability, on-call ownership, and technical mentorship.
- Requirements:The ideal candidate has 5+ years of professional software engineering experience, strong programming skills in Go, Java, or Python, experience with AWS, CI/CD, containerization, and cloud native infrastructure.
About the role
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.Â
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.Â
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.Â
This is a high-impact engineering role with real architectural ownership.Â
Responsibilities
Â
Build the PlatformÂ
- Design and develop scalable APIs and microservices (REST, GraphQL, event-driven)Â
- Build backend services using modern languages such as Go, Java, or PythonÂ
- Develop full-stack capabilities when needed (React, micro-frontends) to enable platform usabilityÂ
- Architect and implement distributed systems that process millions of records across batch and real-time pipelinesÂ
- Build and evolve streaming and ingestion systems using Kafka and FlinkÂ
- Develop control-plane services for orchestration, workflow management, and metadata-driven automationÂ
- Design self-service infrastructure abstractions for storage, compute, and workflow provisioningÂ
Engineer for Scale & ReliabilityÂ
- Build highly available, fault-tolerant distributed systemsÂ
- Define SLAs/SLIs and drive observability across platform servicesÂ
- Implement strong testing, CI/CD, and modern, cloud-native practicesÂ
- Drive performance optimization and system efficiencyÂ
- Participate in on-call rotations and take operational ownership seriouslyÂ
Automate EverythingÂ
- Identify manual processes and replace them with resilient automationÂ
- Build intelligent workflow orchestration and scheduling systemsÂ
- Improve deployment pipelines and reduce operational overheadÂ
- Leverage AI/LLMs and modern tooling to accelerate engineering productivityÂ
Collaborate & Lead TechnicallyÂ
- Partner with product managers, architects, data engineers, and ML teams to translate business needs into scalable systemsÂ
- Contribute to architectural direction and technical strategyÂ
- Mentor engineers and raise the engineering bar through code reviews and design discussionsÂ
- Promote engineering best practices, documentation discipline, and long-term maintainabilityÂ
Minimum Qualifications
- 5+ years of professional software engineering experience building production systemsÂ
- Strong programming skills in Go, Java, or PythonÂ
- Proven experience designing and building distributed systems or microservices architecturesÂ
- Experience with cloud platforms (AWS preferred)Â
- Experience building and consuming APIs (REST, GraphQL, event-driven)Â
- Strong understanding of CI/CD, containerization, and cloud native infrastructureÂ
- Demonstrated ability to learn new technologies quickly and apply them effectivelyÂ
- Ownership mindset: you build it, you run it, you improve itÂ
Preferred Qualifications
- Experience with streaming technologies (Kafka, Flink)Â
- Experience with big data ecosystems (Spark, Trino/Presto, Hive, EMR)Â
- Experience building data platforms, storage systems, or orchestration engines (Airflow, Temporal)Â
- Familiarity with data modeling, schema design, and large-scale data processingÂ
- Experience implementing observability and monitoring frameworksÂ
- Background in building developer platforms or internal toolingÂ
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.

