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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.
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.
Snowflake’s unique architecture allows us to maintain an agile delivery cadence while still providing a very high degree of stability and reliability for customers.
Our intent is to provide a highly available, reliable and scalable tools/services infrastructure that enables our engineering teams to develop, test, debug and release enterprise software quickly. We are champions for code health, testability, maintainability and best practices for development and testing.
At Snowflake our goal is to make each individual feel valued for his or her contributions to the company’s mission. We are looking for smart people who want to do remarkable things. We strive to create an environment of casual intensity where people enjoy coming to work every day.
You will be building infrastructure and automation frameworks for Cloud-based and SaaS Data Warehouse services. These span the full stack including helping set the direction for how we continuously integrate, deploy, verify and monitor our product/services. You will be driving the development of testing infrastructure, automation frameworks, and tools to have robust automated testing pipelines for the Snowflake Data Cloud. This is an awesome opportunity to work with cutting-edge cloud technology in a highly visible role.
AS AN INFRASTRUCTURE AND AUTOMATION ENGINEER AT SNOWFLAKE YOU WILL:
- Lead/contribute to engineering efforts from planning and organization to execution and delivery to solve complex engineering problems in tools and testing.
- Define and maintain policies around developer, test, and validation deployments.
- Design and build advanced CI/CD pipeline frameworks.
- Design and build tooling and infrastructure to help engineering teams measure and increase their velocity.
- Drive adoption of best practices in code health, testing, and maintainability.
- Analyze and decompose complex software systems and collaborate with and influence others to improve the overall design.
- Collaborate with other teams on effective test coverage, software feature management, and spin-up of resources as required.
ON DAY ONE WE WILL EXPECT YOU TO HAVE:
- At least 2+ years of experience in software development (SaaS experience preferred).
- Prefer strong coding skills in Python/Java/C++, NodeJS and other software technologies.
- Hands-on experience designing and working with modern CI/CD solutions.
- Comfortable with open systems environments and scripting experience.
- Experience with Cloud-based infrastructure systems is a plus. (AWS, Azure, GCP).
- Attention to detail and ability to build reliable and scalable software systems.
- Effective communication and collaboration skills with a service-oriented mindset.
- Solid interpersonal skills that are conducive to a team environment.
- Ability to manage and prioritize multiple requests for competing resources.
- Able to debug, troubleshoot, and resolve complex technical issues.
- Strong work ethic and a passion for problem-solving with a self-driven & motivated mindset
- Experience and knowledge of Git, JIRA, Jenkins, and Snowflake a plus
- Kubernetes and Docker experience is a plus.
- Strong database understanding including SQL is a plus
WHY JOIN THE ENGINEERING TEAM AT SNOWFLAKE? AS A MEMBER OF OUR TEAM, YOU WILL :
- Build an industry-leading data management system that customers love.
- Measurably impact an innovative product area central to Snowflake’s success.
- Take charge of your own career- this role has the impact and ability to grow both technically, as well as from a leadership perspective.
- Ensure the quality, performance, and reliability of a super-robust and secure enterprise SaaS platform that services hundreds of customers and millions of complex queries daily.
- Learn at scale as you work on a highly scalable and reliable data processing platform that runs on hundreds and thousands of machines and executes Billions of queries.
- Ensure that we are shipping the highest quality service possible at each release.
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 http://careers.snowflake.com
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
Health Insurance
Dental Insurance
Vision Insurance
Pet Insurance
Life Insurance
Disability Insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Mental Health Benefits
Employee Assistance Program
Fitness Stipend
Wellness Programs
401(k) / Retirement Plan
Employee Stock Purchase Plan
Equity / RSUs
Performance Bonus
Parental Leave
Adoption Leave
Fertility Benefits
Unlimited PTO
Learning & Development Budget
It is structured hybrid. Most roles are tied to a specific office and expect roughly three days a week on-site, and around three-quarters of open jobs are office-anchored. A minority of roles are explicitly tagged remote, but there is no company-wide remote policy, so eligibility is decided role by role.
Roles are location-specific and spread across more than 25 countries, including the US, UK, Australia, India, Germany, Poland, Canada, Japan, France, and Singapore. The heaviest concentration of jobs sits in US hubs such as Menlo Park and Bellevue, plus London. Positions are city- or country-locked rather than work-from-anywhere.
Snowflake offers a 401(k) and a Roth 401(k) option, but it does not provide an employer match. This is worth factoring into total compensation, since the package leans heavily on equity and bonus rather than retirement matching.
Compensation is geography-based and certified by Fair Pay Workplace, an external pay-equity auditor. Cash is paired with substantial equity through new-hire grants, an Employee Stock Purchase Plan, and a quarterly bonus or commission program, with RSUs vesting over four years.
Highlights include unlimited PTO, generous parental leave (26 weeks maternity, 12 weeks paternity) with adoption and fertility support, an HSA with employer contribution, on-demand mental health and wellness programs, and ergonomic work-from-home equipment provided globally.
It suits data and AI engineers, data scientists, and product people who want to work across the full data lifecycle at large scale and value equity-heavy pay. Sales roles are numerous and well-compensated, though reviewers there report more pressure and crunch than in engineering.
Pay Transparency
Commuter Benefits
Sick Days
Military Leave
Paid Holidays
Bereavement Leave
Company Equipment
Free Snacks & Drinks
Employee Product Discount
Employee Resource Groups
