Principal Software Engineer-Open Data Hub, Feature Store

Location: Westford , MA  [Remote]
Category: Technology
Employment Type: Direct Hire
Job ID: 12551
Date Added: 04/13/2024

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Principal Software Engineer – Open Data Hub/OpenShift AI
Job Summary:
Are you ready to join a game-changing open-source AI platform that harnesses the power of hybrid cloud to drive innovation?
 Our client is seeking exceptional Software Engineers (across all seniority levels) to join our engineering team. This is an extraordinary opportunity to contribute to the development of this family of products while participating in open-source communities such as Kubeflow, Trusty AI, and Kserve, and be at the forefront of the exciting evolution of AI.
 This enterprise company delivers a robust set of technologies for Data Scientists and MLops personas such as model development, model serving, data pipelines, Kubeflow components, and Kubernetes operator development and is expanding into other areas at a high pace.   By leveraging the combined strength of open-source tools, and the recent developments in AI and hybrid cloud, we deliver unmatched value to our partners and customers.
The future of AI is open, presenting extensive opportunities.  You’ll join a team that fosters continuous learning, career growth, and professional development. You’ll have the freedom to rapidly design, secure, build, test, and release groundbreaking AI components. 
What you will do:
  • Lead the design and development of advanced feature store solutions within the platform.
  • Advise leadership in technical advancements in this space
  • Collaborate with AI/ML upstream communities to ensure seamless integration and optimization of technologies on OpenShift.
  • Spearhead the evaluation and integration of new AI/ML technologies into the ecosystem.
  • Leading  AI/ML and OpenShift/Kubernetes conferences, sharing expertise and insights.
  • Mentor and guide teams in best practices for AI/ML development and open-source collaboration.
What you will bring:
  • Deep expertise in feature store development, particularly in an MLOps context.
  • Strong background in AI/ML technologies, with a focus on scalability and performance.
  • Strong proficiency in Git and Linux, with a solid understanding of system operations and troubleshooting.
  • Ability to lead and work autonomously in a dynamic, evolving environment.
  • Excellent written and verbal communication skills; fluent English language skills.
Preferred skills
  • Demonstrated leadership in technical teams and open-source projects.
  • Proficiency in data engineering, with extensive experience in designing and implementing efficient ETL pipelines for optimal data management.
  • In-depth knowledge of advanced SQL and NoSQL database technologies, including experience with distributed data storage systems.
  • Experience in Kubernetes and cloud-native technologies.
  • Familiarity with data pipeline and model serving technologies.
Nice to Haves:
  • While a Bachelor’s degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess.