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

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

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

API DevelopmentPerformance OptimizationML Model DeploymentDistributed ComputingBack-End DevelopmentPythonJavaScalaGoDocker

Soft Skills

CollaborationCross-functional teamwork