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Staff Software Engineer

Domino Data Lab

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

200000.00 - 250000.00 USD / Year
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Job Description:

The Model Development Lifecycle Team is building a cutting-edge platform to simplify the entire machine learning journey. From development and training to deployment and management, we empower teams to turn data into actionable insights. Our platform supports: Seamless API Integration: Deploy models as APIs for consistent use across applications, whether on-premises, in enterprise infrastructures, or through third-party hosting. Collaboration and Discoverability: Use our model registry to version, store, and easily find models across the organization. Scalable Training Resources: Leverage advanced tools like GPUs, Ray, and Spark to meet the needs of diverse AI projects.

Job Responsibility:

  • Integrate model monitoring to provide a holistic view of deployment health and performance
  • Enhance tagging capabilities across Domino entities to improve discoverability and tracking
  • Expand LLM hosting capabilities to address customer needs for scale, performance, and logging
  • Innovate within our Domino Apps offering by incorporating feature requests from major customers

Requirements:

  • Hands-on experience developing and managing high-performance back-end systems in distributed computing environments
  • Working closely with cross-functional teams to integrate systems with front-end interfaces and third-party services
  • Designing and implementing secure, scalable APIs (e.g., RESTful APIs, gRPC)
  • Profiling and optimizing back-end performance, especially in cloud environments or with container technologies like Docker and Kubernetes.
  • Using robust testing frameworks (unit, integration, end-to-end) and setting up CI/CD pipelines
  • Familiarity with model registries, versioning, and lifecycle management tools like MLflow or KubeFlow is a big plus
  • Experience with frameworks like Apache Spark, Azure ML, or SageMaker is a plus
  • Proficiency with cloud providers (AWS, Azure, GCP) and deploying services in these environments
  • Expertise in languages such as Python, Java, Scala, or Go

Nice to have:

  • Familiarity with model registries, versioning, and lifecycle management tools like MLflow or KubeFlow
  • Experience with frameworks like Apache Spark, Azure ML, or SageMaker
What we offer:
  • equity
  • company bonus or sales commissions/bonuses
  • 401(k) plan
  • medical, dental, and vision benefits
  • wellness stipends

Additional Information:

Job Posted:
January 20, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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