Experience: 4-7 years
Location: Remote
About the Role:
SambaNova is hiring a Senior Software Engineer (Full Stack, Backend-Focused) for SambaNova’s SambaSuite platform.
We are helping enterprises and service providers build their AI inference platforms for end users, powered by our state-of-the-art RDU (Reconfigurable Dataflow Unit) hardware architecture. Our cloud-agnostic, enterprise-grade MLOps platform abstracts infrastructure complexity and enables seamless deployment, management, and scaling of foundation model workloads at production scale.
As a Senior Software Engineer, you will take ownership of backend-heavy, full-stack feature development—building robust services, scalable APIs, and intuitive frontends that power the user experience. You’ll contribute to the core of our enterprise-grade AI platform, collaborating across teams to ensure our systems are performant, secure, and built to last.
This is a high-impact, high-visibility role working at the intersection of AI infrastructure, enterprise software, and developer experience.
Key Responsibilities:
• Take ownership of our existing Bazel ecosystem, including RBE setup, maintenance, and troubleshooting.
• Ensure the stability, scalability, and performance of our CI/CD pipelines.
• Collaborate with development teams to optimize build and test processes.
• Maintain and improve our CircleCI setup, including workflow optimization and configuration management.
• Manage Python package dependencies and ensure seamless integration with our CI/CD pipelines.
• Work with the development team to implement best practices for package management and dependency management.
• Familiarize yourself with our GAR and JFrog Artifact Management setup and optimize its usage.
• Collaborate with the engineering team to implement infrastructure changes and improvements.
Required Qualifications:
• 2+ years of experience in DevOps or Infra.
• 1+ years of experience working with CircleCI.
• Strong understanding of Bazel and RBE, with experience maintaining and troubleshooting Bazel ecosystems especially in C++ (CMake) and Python.
• Experience in managing dependencies in large scale projects.
• Experience with Google Artifact Registry (GAR) and/or JFrog Artifact Management.
• Experience with Linux/Unix systems and command-line interfaces.
• Strong scripting skills (e.g., Python, Bash, etc.).
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively with cross-functional teams.
Preferred Qualifications:
• Experience with Python Package Management.
• Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
• Experience with other CI/CD tools (e.g., Jenkins, GitLab CI/CD, etc.).
• Knowledge of software development best practices and coding standards.