We are looking for a senior backend software engineer to join our core machine learning platform engineering team, responsible for the development and expansion of core infrastructure supporting Xometry’s AI/ML products. You will partner closely with data scientists and machine learning engineers to design and deliver state of the art AI/ML infrastructure. You will be given the opportunity to continually challenge yourself, expand your skillset, own your work, and play a crucial role in the Xometry platform.  This is a 1-year contract.  

Responsibilities:

• Technical Contributions: Design, develop, test, and release software and infrastructure supporting AI/ML and experimentation workflows
• Code Review & Documentation: Grow our knowledgebase by participating in code reviews, writing, and reviewing documentation
• Collaboration: Work closely with other engineers and product managers to become a valued member of an autonomous, cross-functional team
• Ownership: Be responsible for the services that are owned by our team, including deploying services into AWS and Kubernetes environments and taking part in an on-call rotation
• Professional Development: Stay up-to-date on the latest technologies and pro-actively identify opportunities for growth.

Qualifications:

• Required: 5+ years of experience in a fast-paced technical, problem-solving environment as a software or machine learning engineer
• Required: attention to detail, good work ethic, ability to work on multiple projects simultaneously, and strong communication skills
• Required: Demonstrable understanding of software engineering fundamentals related to security, scalability, asynchronous programming and transactions
• Required: Knowledge and demonstrated experience developing in Python and Terraform for AWS
• Required: Knowledge and demonstrated experience deploying infrastructure as code (IaC) 
• Required: Experience with software engineering principles 
• Desired: Experience with build and testing ci/cd pipelines using Github Actions
• Desired: Knowledge of the machine learning lifecycle, including best practices in MLOps
• Desired: Experience deploying data science or machine learning solutions
• Desired: Demonstrated knowledge of principles of service-oriented architectures and ability to lead efforts in defining and implementing a service strategy
• Desired: Experience with relational and/or NoSQL databases with understanding of Normalization/Denormalization, Constraints, Transactions, Replication, and Sharding
• Desired: Experience communicating technical concepts to non-technical stakeholders

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