Job Requisition ID #
25WD86442
Position Overview
We are looking for an experienced backend engineer to join our platform team focusing on the AI/ML Platform (AMP). This team builds and maintains central components to fast-track the development of new ML/AI models, such as model development studio, feature store, model serving, and model observability.
The ideal candidate will have experience in backend development and a willingness to contribute to other areas of the platform. Having full-stack experience would be a plus. You will collaborate with other full-stack engineers and MLOps engineers on the team to build end-to-end web applications that handle internal user workflows. As an important contributor to our engineering team, you will help shape the future of our AI/ML capabilities, delivering solutions that create value for our organization. You will report to a manager.
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Responsibilities
- Building, maintaining REST API/microservices in golang, python on AWS
- We build it. We operate it. We maintain it. We own it. mindset. Taking end-to-end ownership of the components is crucial for this role
- Test automations, user documentation
- Troubleshooting: Handling support requests from internal customers, troubleshooting the issues and timely communication
- Cross-Functional Collaboration: Collaborate across diverse teams, including full-stack engineers, MLOps engineers, DevOps, Product managers, software architects fostering a collaborative and cohesive work environment
Minimum Qualifications
- Educational Background: Bachelors degree in Computer Science or equivalent practical experience
- Over 5 years of hands-on experience in backend engineering, full-stack development
- Solid experience of building production grade applications in Golang
- Aware about best practices, design tradeoffs, DB schema design for application development
- Familiarity with unit test, functional test, integration test and test automation
- Familiarity with python and its ecosystem e.g. pandas
- Experience with using, troubleshooting CI/CD, build automations
- Exposure to deployments on public cloud (AWS or equivalent)
- Excellent communication and collaboration skills, fostering teamwork and effective information exchange
- Willingness to learn continuously into full-stack, cloud engineering, MLOps to also contribute to other initiatives in the team
Preferred Qualifications
- Prior experience working on kubernetes based deployments
- Familiarity with infrastructure as code (Terraform or equivalent)
- Prior experience in data engineering or collaboration with data scientists
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About Autodesk
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Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.
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