Snowflake

Software Engineer, Engineering Infrastructure

Snowflake  •  $128k - $184k/yr  •  Toronto, CA (Onsite)  •  1 month ago
Apply
AI can make mistakes so check important info. Chat history is never stored.

Job Description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Come join our Engineering Infrastructure team as a Software Engineer focused on the CI/CD platform that powers Snowflake's development velocity. You will build, maintain, and improve the continuous integration systems that thousands of engineers rely on every day to ship code with confidence.

AS A SOFTWARE ENGINEER, ENGINEERING INFRASTRUCTURE, YOU WILL:

  • Contribute to the development and maintenance of continuous integration and delivery pipelines, ensuring reliable and efficient build, test, and release workflows across the organization.

  • Help manage artifact lifecycle systems including versioning, storage, distribution, and dependency management to support reproducible builds at scale.

  • Partner with development teams to design and improve code review workflows, branching strategies, and automated integration processes.

  • Provision, monitor, and optimize cloud infrastructure to support CI workloads, balancing cost efficiency with performance and reliability.

  • Troubleshoot build failures, pipeline bottlenecks, and infrastructure issues, driving root-cause analysis and implementing lasting fixes.

  • Contribute to internal tooling and automation that improves developer velocity and engineering productivity.

OUR IDEAL CANDIDATE WILL HAVE:

  • 2-5 years of professional experience in a DevOps, infrastructure, or software engineering role.

  • Familiarity with continuous integration and delivery systems and practical experience building or maintaining automated build and deployment pipelines.

  • Understanding of artifact repository management and software packaging concepts.

  • Experience with cloud computing platforms (AWS preferred) and programmatic resource provisioning.

  • Proficiency with distributed version control systems, code review processes, and repository management.

  • Foundational knowledge of operating system concepts (Linux/Unix), networking fundamentals, and scripting for automation.

  • Experience with containerization and container orchestration (Kubernetes preferred).

  • Strong troubleshooting skills and a methodical approach to debugging distributed systems.

  • Curiosity about how large-scale infrastructure is built, operated, and improved.

NICE TO HAVE:

  • Familiarity with infrastructure-as-code tools and practices.

  • Scripting proficiency in Python, Groovy, or Bash for build automation and tooling.

  • Exposure to build systems and build graph optimization.

  • Understanding of observability practices including monitoring, logging, and alerting.

  • BS/MS in Computer Science or a related field, or equivalent practical experience.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Snowflake

About Snowflake

Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.

Industry
IT & Software
Company Size
10,000+ employees
Headquarters
Menlo Park, CA
Year Founded
2012
Social Media