Java workflow engine Jobs

Senior Software Developer, Data Infrastructure
Autodesk —Toronto, ON
- $107,000–$157,300 a year
- Full-time
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Calabrio —Vancouver, BC
- On call
- Remote
- DevOps
- Java
- SQL
- Designated paid holidays
- Disability insurance
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Autodesk —Toronto, ON
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- AWS
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Partyhat —Canada
- Full-time
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Senior Java Developer (Trading Platform), Canada
Crypto.com —Canada
- Up to $230,000 a year
- Full-time
- Hybrid work
- English
- Java
- Databases
Quick apply
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Airbyte —Canada
- $101,000–$110,000 a year
- Full-time
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- English
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- AWS
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- Vision care
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Senior Software Developer, Data Infrastructure

Autodesk -
Toronto, ON

Apply Now

Job details

Full-time
$107,000–$157,300 a year

Qualifications

CI/CD
Data modeling
Go
React
Big data
Spark
Apache Hive
Java
Microservices
AWS
Distributed systems
Usability
REST
APIs
Kafka
GraphQL
Metadata
Python

Full job description

Job Requisition ID #

26WD96510

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

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
Build highly available, fault-tolerant distributed systems
Define SLAs/SLIs and drive observability across platform services
mplement 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
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
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.

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

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

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