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Software Developer, Data Pipelines - Generative AI. Remote or Hybrid Canada
Autodesk
Develop data pipelines for AI, deep learning, generative AI, machine learning, reinforcement learning, information retrieval, and natural language processing in the AEC industry.
16d ago
C$98,600 - C$144,650
Experienced (8-12 years), Expert & Leadership (13+ years)
Full Time
Montreal, Quebec, Canada
Hybrid
Company Size
11,600 Employees
Service Specialisms
Design
Engineering
Construction
Architecture
Consulting
Product Development
Technology Solutions
Software Development
Sector Specialisms
Building Design
Construction
Automotive
Building Product Manufacturing
3D Animation
Architecture
Engineering
Construction Professionals
Role
What you would be doing
test automation
distributed systems
microservices design
continuous integration
code review
data pipelines
- Rédiger des tests unitaires, fonctionnels et de régression pour le code que vous créez, et contribuer aux processus d'automatisation des tests, d'intégration continue et de déploiement en collaboration avec tous les autres membres de l'équipe de développement
- Design scalable, distributed systems and microservices in a production setting
- Work with software architects and product managers to translate overall system architecture and product requirements into well-designed and implemented software components
- Concevoir des systèmes distribués et des microservices évolutifs dans un environnement de production
- Implementation of individual software components, with a high emphasis on quality, test-driven development, and sound software engineering practices
- Participate in software design reviews, conduct peer code reviews, and provide input and feedback to other members of the development team
- Développer des pipelines d'ingestion et de traitement de données évolutifs et résilients, des systèmes de surveillance et d'auto-réparation qui alimentent les solutions basées sur l'IA pour les flux de travail AEC
- Develop scalable and resilient data ingestion and processing pipelines, monitoring and self-healing systems that power AI-based solutions for AEC workflows
- Vous collaborez facilement avec les autres membres d'une équipe Agile pour développer et finaliser des produits et des composants
- Write unit, functional, regression tests for the code you create, and contribute to the test automation, continuous integration, and deployment processes together with everyone else in the development team
- Travailler avec les architectes logiciels et les chefs de produit pour traduire l'architecture globale du système et les exigences du produit en composants logiciels bien conçus et mis en œuvre
What you bring
java
python
aws
aec
cloud native
scalable
- Experience writing performant code in Java or Python
- 4+ years of software engineering experience
- Proficiency in serverless and managed Amazon Web Services including Lambdas, AWS Step, and SQS
- You are adaptable, customer-focused, and seek new ways to solve hard problems
- Licence ou master en informatique ou dans un domaine technique connexe
- Experience in the AEC industry, Autodesk products such as Revit, and AEC data schemas and standards
- Expérience avec les capacités natives du cloud, notamment les données à grande échelle, l'edge computing et les solutions basées sur l'IA
- Experience with cloud-native capabilities, including data at scale, edge computing, and AI-based solutions
- Expérience dans la fourniture d'applications de production avec Amazon Web Services
- Expérience avec les pratiques logicielles modernes, notamment l'intégration continue, la livraison continue et l'infrastructure en tant que code
- You easily collaborate with other members of an Agile team to get products and components developed and completed
- Expérience dans le développement de pipelines d'ingestion et de traitement de données, de systèmes de surveillance et d'auto-réparation
- BS or MS in Computer Science or related technical field
- You have a passion for making simple, scalable platforms used by other engineering teams
- Participer à la révision de la conception des logiciels, effectuer des revues de code par les pairs et fournir des commentaires et des retours aux autres membres de l'équipe de développement
- Expérience dans l'utilisation d'AWS IAM pour développer des solutions sécurisées, en particulier avec des politiques d'accès aux ressources et des rôles IAM
- Expérience avec les processus et méthodologies de développement Scrum et Agile
- Experience developing data ingestion and processing pipelines, monitoring and self-healing systems
- Vous avez une faible tolérance à l'inefficacité et un désir ardent d'automatiser tout ce qui peut l'être
- Experience with Scrum and Agile development processes and methodologies
- Experience with modern software practices including Continuous Integration, Continuous Delivery, and Infrastructure-as-Code
- Expérience de travail avec des lacs ou des entrepôts de données, des ETL
- Plus de 4 ans d'expérience en génie logiciel
- Maîtrise des services Amazon Web Services sans serveur et gérés, notamment Lambdas, AWS Step et SQS
- Experience delivering production applications with Amazon Web Services
- Expérience dans l'écriture de code performant en Java ou Python
- Vous êtes adaptable, orienté client et recherchez de nouvelles façons de résoudre des problèmes complexes
- Experience working with Data Lake or Warehouses, ETLs
- Experience in utilizing AWS IAM to develop secure solutions, specifically with resource access policies and IAM roles
- Expérience avec les solutions d'infrastructure AWS en tant que code, telles que CDK ou Cloud Formation
- Mettre en œuvre des composants logiciels individuels, en mettant l'accent sur la qualité, le développement piloté par les tests et les bonnes pratiques d'ingénierie logicielle
- Experience with AWS infrastructure as code solutions, such as CDK or Cloud Formation
- Experience with microservices and RESTful web services
- Expérience avec les microservices et les services web RESTful
- Expérience dans le secteur AEC, les produits Autodesk tels que Revit, et les schémas et normes de données AEC
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Training + DevelopmentInformation not given or found
Interview process
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Security clearance- candidate's data will be used for background checks.
Company
Overview
Founded in 1982
Year of establishment
Marks the beginning of Autodesk's journey in pioneering design software solutions.
- Pioneered software for 2D and 3D design, revolutionizing industries.
- Known for products like AutoCAD, it reshaped architecture, engineering, and manufacturing workflows.
- Empowering creators in fields from construction to digital media, enabling more innovative designs.
- Develops tools used in iconic projects, from skyscrapers to blockbuster movies.
- Pushes the boundaries of design technology, leading the way in artificial intelligence and automation.
- Software is a cornerstone in diverse sectors, from industrial to infrastructure, energy, and entertainment.
- Cloud-based solutions streamline design processes and foster real-time collaboration across industries.
- A leader in 3D design software, with solutions powering projects in every corner of the globe.
- Committed to shaping the future of digital design, bringing complex visions to life.
- Innovation: We believe in the power of creativity to push boundaries and change the world.
- Collaboration: We work together to create solutions that make a difference.
- Customer Success: We are focused on delivering products and services that help our customers succeed.
- Sustainability: We are committed to making a positive impact on the planet and communities.
- Integrity: We act with honesty and uphold the highest ethical standards.
- Inclusion: We embrace diverse perspectives and strive for an environment where everyone belongs.
2023
Net-zero commitment
Aiming to achieve net-zero carbon status, a critical step in combating climate change.
35%
Carbon emissions reduction
Significant reduction in overall carbon footprint across all emission scopes since 2019.
- Designing products that help users make more sustainable decisions, including tools for low-carbon building design.
- Aims to advance climate resilience by providing tools to better predict and plan for climate risks.
- Promotes circular design principles and helps customers optimize material use and reduce waste.
30% Female Workforce
Gender Diversity
As of 2023, 30% of the global workforce identifies as female, highlighting progress in gender diversity across the organization.
25% Leadership Representation
Female Leadership
25% of leadership positions are held by women, indicating strides toward gender parity in executive roles.
2025 Diversity Goal
Leadership Commitment
A strategic initiative to boost representation of underrepresented groups in leadership positions by 2025.
12 Employee Groups
Employee Resource Networks
Twelve employee resource groups are supported, fostering inclusion and community for diverse populations including women, LGBTQ+, and veterans.
- Leadership Commitment: Has set a goal to increase representation of underrepresented groups in leadership by 2025.
- Inclusive Hiring: Implements inclusive recruitment practices and strives for diverse candidate slates for all roles.
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