Level

Snowflake

Staff Software Engineer - Unistore

Snowflake is hiring a Staff Software Engineer - Unistore for a remote role open to applicants in United States. It pays $236k-$339k a year and Level rates it ; you can apply on Snowflake.

Level's read on this job

  • Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
  • Pay on this posting starts 41% higher than the typical software engineer posting on Level.
  • This is listed as a remote role.
  • The posting mentions distributed systems, database engineering and data platforms among its tools and skills.
  • Snowflake has 354 other open roles on Level.

AI in this role

Staff software engineer building unified hybrid data platforms and core database systems at Snowflake.

distributed-systemsdatabase-engineeringdata-platforms

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 is a high-growth, cloud-native data platform company committed to empowering enterprises to achieve their full potential. With a culture built on impact, innovation, and collaboration, we offer an environment where you can build large-scale systems, move fast, and take your technology career to the next level.

We are seeking a highly talented and experienced Staff Software Engineer to join the Unistore team in our Database Engineering org. The Unistore team is building a unified hybrid data platform that dissolves the boundaries between operational and analytical workloads. Our core product, Hybrid Tables, enables enterprises to manage both transactional and analytical data in a single place. By eliminating the need to move data between separate operational databases and analytical warehouses, we simplify architectures, reduce ETL complexity, and unlock high-performance, real-time application serving—all while maintaining Snowflake's industry-leading scale, performance, and ACID compliance.

Joining this team means architecting the performance, scalability, and service infrastructure that will empower the world's largest enterprises to seamlessly govern their transactional and analytical data in one place. If you are passionate about building industry-leading technologies that solve real-world scale and performance problems, this is the place to be. In this role, you will be a key contributor to the evolution of our core product: an elastic, large-scale, high-performance data processing system. We are looking for smart, enthusiastic engineers who can quickly master complex technical areas and are passionate about building new, industry-leading technologies.

AS A STAFF SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL:

  • Participate in the development of a unique distributed database system combining high scalability and performance with rich ACID transactions.

  • Identify strategically important problems, inefficiencies or opportunities for impactful improvements.

  • Design and implement novel query optimization or distributed data processing algorithms to maintain Snowflake's industry-leading data warehousing capabilities.

  • Design, develop, and support a petabyte-scale cloud database system, ensuring it is highly parallel and fault-tolerant.

  • Develop and implement the new service architecture required to enable the next generation of the Snowflake Data Cloud.

  • Analyze, understand, and resolve complex performance and scalability bottlenecks within the system.

  • Own the end-to-end delivery of your projects, including identifying solutions, design, implementation, rigorous testing, and safe production rollout.

  • Ensure operational readiness and execute production operations of services, meeting our customer commitments for durability, availability, and performance.

  • Build high-quality, highly reliable software that meets the demands of the world's largest companies.

  • Develop tools to provide customers with greater insight into their workloads.

  • Evangelize best practices for database usage and end-to-end system architecture.

  • Mentor and support the professional growth of junior engineers on the team.

OUR IDEAL STAFF SOFTWARE ENGINEER WILL HAVE:

  • 8+ years of industry experience working on commercial or open-source software.

  • Strong fluency in C++ or Java.

  • Excellent problem-solving skills and a deep understanding of Computer Science fundamentals, including data structures, algorithms, and distributed systems.

  • Strong systems programming skills, including experience with multi-threading and concurrency.

  • A solid foundation in distributed systems concepts (e.g., consistency, scaling, failure recovery).

  • Experience with implementation testing, debugging, and documentation, specifically within a Linux development environment.

  • BS in Computer Science; Masters or PhD Preferred..

  • Intense curiosity, willingness to question and passion for making systems better

BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:

  • SQL or other database technologies including internal design and implementation.

  • Query optimization, query execution, compiler design and implementation.

  • Experience with internals of distributed key value stores like FoundationDB and storage engines like RocksDB, InnoDB, BerkeleyDB etc.

  • Experience with MySQL, PostgreSQL internals

  • Data warehouse design, database systems, and large-scale data processing solutions like Hadoop and Spark.

  • Experience in database replication technology

  • Big data storage technologies and their applications, e.g., HDFS, Cassandra, Columnar Databases, 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.

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

How we rate this

Staff Software Engineer - Unistore at Snowflake rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Distributed SystemsDatabase EngineeringData Platforms

Also common in software engineer jobs at this level

Pay

This job starts at
$236k
Typical software engineer job
$168k

This posting starts 41% above the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where distributed systems was part of your work. What did you do?
  2. Tell me about a project where database engineering was part of your work. What did you do?
  3. Tell me about a project where data platforms was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Distributed Systems, Database Engineering, and Data Platforms. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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