- 12+ years of software engineering experience, including technical leadership of complex backend or infrastructure initiatives spanning multiple teams.
- Deep experience designing, building, and operating large-scale distributed systems, with strong understanding of concurrency, consistency, caching, failure recovery, and performance.
- Strong computer science fundamentals and hands-on proficiency in Java, Go, C++, or a comparable backend language, plus experience with AWS, Azure, or Google Cloud.
- An AI-first engineering practice: you actively use AI throughout the software lifecycle and can demonstrate how it improves your execution, problem-solving, and quality. You are ready to build AI-powered platform capabilities and help others adopt this approach.
- A track record of turning ambiguous problems into delivered systems, balancing architectural investments with incremental progress, and driving adoption across engineering organizations.
- Clear written communication, low-ego collaboration, strong ownership, and experience mentoring senior engineers.
- A degree in Computer Science or a related field, or equivalent practical experience.
Especially relevant: Experience with feature-flag or configuration platforms, distributed control planes, progressive delivery, experimentation infrastructure, or AI-powered developer tools.
Help build the systems that let engineers innovate faster than manual processes can support, with the evidence and safeguards that critical workloads demand.
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