Staff Software Engineer, MDLC

What your impact will be

In your first year, you will:

• Build and enhance platform features that enable teams to design, test, and deploy multi-agent workflows at scale.
• Enhance Domino’s Extensions framework for enabling customers to build custom modules that extend platform feature and function.
• Expand the platform's inference infrastructure to support high-throughput, low-latency serving of large language models, helping customers confidently operationalize LLM applications at enterprise scale.

What we look for in this role

• 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.
• Familiarity with traditional machine learning model development and AI workflows, including experiment tracking, hyperparameter optimization, model evaluation frameworks, and managing model artifacts.
• 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.