Montreal Developer Jobs

Job Requisition ID #

23WD73173

La traduction en Français se trouve plus bas!/The French translation can be found below!

23WD73173 - Senior DevOps Engineer

Position Overview

We are seeking an experienced and motivated Cloud/Machine Learning (ML) Operations Engineer to join our growing team. As an Operations Engineer at Autodesk, you will play a pivotal role in designing and implementing new service offerings on top of a strong cloud foundation. You will subsequently be involved in streamlining our development and deployment processes, enhancing system reliability, and ensuring the scalability and security of our infrastructure.

This position is an exciting opportunity for an engaged Operations Engineer to join a dynamic team of engineers working on Autodesk's automotive, transportation and Industrial design portfolio, including industry-leading software tools Alias and VRED. We support hybrid work environments and prefer to have our engineers close to the teams in Toronto, Canada and Germany.

Responsibilities

• Design and implement new service offerings on top of a strong cloud foundation
• Support development teams in leveraging our larger machine learning operations (MLOps)
• Collaborate with software development and the infrastructure team to design, implement, and maintain multiple business offerings
• Automate deployment, scaling, and management of infrastructure using modern DevOps tools and practices
• Monitor and optimize system performance, troubleshoot issues, and implement solutions
• Manage and secure cloud-based environments (AWS)
• Implement and maintain configuration management and infrastructure as code (IaC) using Terraform
• Collaborate in designing and implementing security best practices throughout the development and deployment pipelines
• Build dashboards to support system reviews

Minimum Qualifications

• Bachelor's degree in Computer Science, IT, or a related field (or equivalent work experience)
• Proven experience in DevOps or a related field
• 3+ years of experience with cloud services and virtualization (AWS)
• Proficiency with automation and orchestration tools like Spinnaker
• Familiarity with containerization and orchestration technologies (Docker, Kubernetes)
• Experience with Postgres and ETL
• Experience with infrastructure as code (IaC) tools (Terraform)
• Scripting skills in languages such as Python, Bash, or PowerShell

Preferred Qualifications

• Relevant certifications (e.g., AWS Certified DevOps Engineer, Kubernetes certifications).
• Experience with microservices architecture.
• Knowledge of monitoring and logging tools (Prometheus, ELK Stack, Grafana).
• Jenkins, Groovy, CDK