Staff Software Engineer - Unistore
Primary stack
Nice to have's
Job description
About the Position
Staff Software Engineer - Unistore
Snowflake is a high-growth, cloud-native data platform company committed to empowering enterprises to achieve their full potential. 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.
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.
Responsibilities
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.
Requirements
- 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.
Nice to Have
- 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.
We Offer
- Competitive salary and benefits.
- Opportunity to work in a fast-growing, innovative company.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
About the Company
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.
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.
Location: Menlo Park, USA
Work Location Type: On-site
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. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Cloud Computing,Data Management,Artificial Intelligence
About the Company Snowflake is a cloud-native data platform launched in 2012 by a team of data experts who identified limitations in traditional databases. The company has a strong presence in Poland, with a technical hub in Warsaw. Snowflake offers an international work environment with opportunities for skill development and collaboration with industry experts. Products, Services & Tech Stack Core Solutions: Data processing and management platform. Technologies & Frameworks: Specific technologies and frameworks are not detailed in the provided text. Project Scope & Target Clients Client Base: Not specified. Engineering Scale: Not specified.
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