Position Overview
We are seeking an experienced and motivated Senior Cloud/Machine Learning (ML) DevOps Engineer to join our growing AutoCAD team. As a DevOps Engineer at Autodesk, you will play a pivotal role in designing and implementing new service offerings on top of a strong cloud foundation. Reporting to the Engineering Manager in the AutoCAD group, you will be involved in streamlining our development and deployment processes, enhancing system reliability, and ensuring the scalability and security of our infrastructure. You'll be working as part of a larger DevOps team that strives to deliver high quality cloud solutions and infrastructures for the multi-platform AutoCAD application that serves millions of users. We support hybrid work environments.
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)
- Drive the design, implementation and management for expanding observability infrastructure, keeping up to date with new technologies
- Lead sustainable incident response, blameless postmortems, and production improvements that result in direct business opportunities
- 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
- Occasional on-call duties about 1 week per month
- Define and document best practices across all pillars of DevOps/SRE
Minimum Qualifications
- Bachelor's degree in Computer Science, IT, or a related field (or equivalent work/practical experience)
- Proven experience in DevOps/SRE or a related field
- 6+ years of experience with cloud services and virtualization (AWS)
- Proficiency with automation and orchestration tools like Spinnaker
- Expertise with containerization and orchestration technologies (Docker, Kubernetes)
- Experience with Postgres and ETL
- Experience with infrastructure as code (IaC) tools (Terraform), CloudFormation
- Scripting skills in languages such as Python, Go, Bash, or PowerShell
Preferred Qualifications
- Relevant certifications (e.g., AWS Certified DevOps Engineer, Kubernetes certifications)
- Experience with microservices, serverless architecture
- Knowledge of monitoring and logging tools (Prometheus, ELK Stack, Grafana)
- Jenkins, Groovy, CDK
- A passion for everything performance, observability, availability, scalability and security with experience owning and delivering projects using Agile methodologies
