Principal Engineer, DevOps Infrastructure

The era of pervasive AI has arrived.  In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale.

SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets.

Working at SambaNova

SambaNova is changing the world of AI through revolutionary solutions including hardware acceleration for machine learning applications. This role is key to unleashing developer productivity for SambaNova’s world class engineering teams. As a Principal DevOps Engineer you will be working with our leading software and infrastructure teams enabling them to deploy and maintain our best-in-class solutions. It will be key to ensuring that there is an IaC (Infrastructure-as-Code) deployment process and tools that helps us maintain environmental consistency and secure tenancy.  In addition, you’ll be working with operational teams to identify problems through operational response and monitoring.

This role presents a unique opportunity to shape the future of AI and the value it can unlock across every aspect of our organization’s business and operations. It is a high-visibility position which will shape the future of the AI platform in delivering the best-in-class cost-performance software solutions. As a leader within the engineering team, you will be responsible for automating deployment and ensuring operational accuracy with the infrastructure environments.

Responsibilities

• Drive the adoption of cutting-edge DevOps technologies, such as GitOps, MLOps, and Kubernetes, to enhance software development, testing, and deployment efficiency
• Help manage the maintenance of leading continuous integration systems and ensure seamless integration with other systems and tools for optimal performance
• Help manage and orchestrate our infrastructure, which today is largely an on-premises data center environment
• Work closely with stakeholders to assess and implement enterprise-level systems that align with the organization's goals and objectives

Basic Qualifications

• 5+ years in DevOps, software engineering, and technology architecture
• Demonstrated ability to design, implement and maintain secure, scalable, and resilient systems to support software development and deployment.

 

Additional Required Qualifications

• Strong technical acumen with Python, GitHub, and other relevant technologies and tools
• Proven experience and ability to lead technical teams and mentor junior members
• Strong knowledge of containerization, orchestration, and monitoring technologies, such as Docker, Kubernetes (K8s), Prometheus, Grafana, and ELK Stack, with the ability to implement and maintain a secure and scalable infrastructure
• Ability to drive the adoption of Infrastructure-as-Code (IaC) as a best practice within the DevOps team
• Proven start-up experience in scaling and supporting engineering teams, with the ability to lead by example and foster a high-performance culture
• Experience working with Open Source tooling to create solutions for an on-premise data center environment

 

Preferred Qualifications

• In-depth understanding of DevOps principles, practices, and tools, including Continuous Integration, Continuous Deployment, and Continuous Delivery, with hands-on experience configuring and maintaining CI/CD pipelines using tools such as Jenkins, Travis CI, or CircleCI
• Proficient in cloud computing technologies and experience working with Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• Scripting proficiency in languages such as Python or Bash
• Experience automating infrastructure and deployment processes
• Familiarity with version control systems, such as Git and GitHub
• Experience with GitOps and Infrastructure-as-Code (IaC) principles and tools, such as Terraform or CloudFormation

 

Annual Salary Range and Level

The base salary for this position ranges from $165,000/year up to $180,000/year. This range is based on role,