Senior Software Engineer- Cloud Engineering, ML Infra

We are at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.

We’re looking for a skilled Senior Software Engineer to join us to continue building out the Snowflake platform and services across a broad set of cloud providers. The cloud services team is responsible for building software and solutions that improve cloud infrastructure engineering capabilities at Snowflake across all major providers. Our team is growing rapidly to keep up with this broad responsibility alongside Snowflake’s immense growth. You will be part of a team of talented engineers to continue to optimize and scale Snowflake’s infrastructure for existing and future applications.

AS A SENIOR SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL:

• Demonstrate your expertise on cloud infrastructure for AI/ML platform use cases and distributed systems.
• Design and implement auto scalable infrastructure with optimized costs and performance.
• Showcase your capabilities to take large, complex projects from conception to completion with minimal guidance. 
• Collaborate with the broader engineering teams to address their multi-cloud infrastructure needs.
• Mentor and support junior team members, lead by example, produce excellent quality code, documentation, solutions, and SDLC best practices.

OUR IDEAL SENIOR SOFTWARE ENGINEER WILL HAVE:

• Experience in developing quality infrastructure, automation, and tools.
• At least 7+ years experience in a software engineering platform team within a cloud based environment.
• At least 3+ years experience in cloud computing (AWS, Azure or GCP).
• Strong software engineering fundamentals, coding skills, and knowledge of SDLC best practices.
• Experience in developing systems using Golang and/or Python.
• Good experience in Kubernetes, Containers and workflow orchestration technologies (e.g. Argo, Flyte, Kube Flow etc…)
• Demonstrated knowledge of distributed systems, APIs, cloud computing, networking.
• Bachelors/ Masters/ Ph.D. in Computer Science or related majors or equivalent experience.

NICE TO HAVE EXPERIENCE/ SKILLS WITH THE FOLLOWING:

• Knowledge in GPU programming and/or Nvidia Cuda framework is a plus.
• Experience in AI/ML tools and technologies such as Ray Serve and/or Seldon Core and/or Similar serving frameworks (e.g. TF serve, KServe etc…)
• Experience with infrastructure and config management toolsets - Pulumi, Terraform, Vault, etc.

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.