Staff Software Engineer
Staff Engineer · Staff · Full Time
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Role
What you'll do.
Join Snowflake's Database Engineering team as a Staff Software Engineer to architect and optimize petabyte-scale cloud data systems. This role requires deep expertise in distributed systems, query optimization, and large-scale data processing, with a focus on designing novel algorithms and service architectures that power the next generation of the Snowflake Data Cloud. Ideal candidates bring 10+ years of software engineering experience, strong proficiency in Java or C++, and demonstrated mastery of database internals, distributed systems concepts, and systems programming at enterprise scale.
Responsibilities
- Design and Implement Query Optimization Algorithms: Architect novel query optimization and distributed data processing algorithms to maintain Snowflake's competitive advantage in cloud data warehousing. Develop sophisticated optimization techniques that reduce query execution time and resource consumption across petabyte-scale datasets while maintaining query accuracy and consistency.
- Build Petabyte-Scale Database Systems: Design, develop, and support highly parallel, fault-tolerant cloud database systems capable of processing massive datasets. Engineer systems with built-in resilience, automatic failover mechanisms, and self-healing capabilities to ensure production reliability at enterprise scale.
- Develop Next-Generation Service Architecture: Lead the design and implementation of new service architecture patterns required for the next generation of the Snowflake Data Cloud. Define microservices boundaries, inter-service communication protocols, and deployment strategies that enable scalability, maintainability, and rapid iteration.
- Diagnose and Resolve Performance Bottlenecks: Analyze system performance metrics, identify scalability constraints, and implement targeted optimizations. Profile complex distributed systems to pinpoint bottlenecks in CPU, memory, I/O, and network layers, then design and execute solutions that maintain or improve system efficiency.
- Own End-to-End Project Delivery: Take full ownership of projects from requirements gathering through production deployment. Develop comprehensive design documents, implement robust solutions, execute rigorous testing protocols including performance and chaos engineering tests, and manage safe rollouts with monitoring and rollback strategies.
- Ensure Production Operational Excellence: Execute production operations and on-call responsibilities for critical systems, ensuring strict adherence to SLAs for durability, availability, and performance. Develop runbooks, monitoring dashboards, and alerting systems that enable rapid incident response and maintain customer trust.
- Build Reliable Enterprise-Grade Software: Develop high-quality, highly reliable software architecture and implementations that meet the rigorous demands of the world's largest enterprises. Apply defensive programming practices, comprehensive testing strategies, and code review discipline to minimize defects and security vulnerabilities.
- Develop Customer Insight Tools: Create tools and interfaces that provide customers with deep visibility into their workload behavior, query performance, resource utilization, and system health. Design user-friendly dashboards and diagnostic tools that empower customers to optimize their database usage patterns.
- Evangelize Database Best Practices: Share technical expertise across the organization and with customers regarding optimal database architecture patterns, query design principles, and system configuration strategies. Contribute to technical documentation, blog posts, and conference presentations that establish Snowflake's thought leadership.
- Mentor and Develop Engineering Talent: Guide and support the professional growth of junior engineers on the Database Engineering team. Conduct code reviews, provide technical mentorship, delegate challenging projects for skill development, and contribute to team knowledge sharing and engineering excellence culture.
Qualifications
What we look for.
Technical
Distributed Systems Architecture
Deep understanding of distributed systems concepts including consensus algorithms, consistency models (strong, eventual, causal), fault tolerance mechanisms, leader election, and recovery protocols. Experience designing systems that maintain correctness and performance across multiple nodes with partial failure scenarios.
Systems Programming and Concurrency
Advanced proficiency in multi-threaded and concurrent programming patterns including lock-free algorithms, mutex management, memory ordering, and deadlock prevention. Understanding of operating system primitives, thread scheduling, and performance implications of synchronization strategies.
Java or C++ Mastery
Strong fluency in either Java or C++ with demonstrated ability to write performant, maintainable code at scale. For C++: memory management, template metaprogramming, performance optimization; For Java: generics, lambda expressions, garbage collection tuning, and framework mastery.
Computer Science Fundamentals
Solid foundation in core CS concepts including advanced data structures (B-trees, hash tables, skip lists), algorithm analysis and Big O complexity, dynamic programming, graph algorithms, and their practical applications in database and distributed systems contexts.
Linux Development Environment
Practical experience with Linux kernel concepts, system calls, shell scripting, and development tools. Proficiency with performance profiling tools (perf, strace), debugging utilities (gdb, valgrind), and version control systems. Comfortable with containerization technologies and deployment environments.
Implementation, Testing, and Debugging
Experience with comprehensive testing strategies including unit testing, integration testing, performance testing, and chaos engineering. Proficiency in debugging complex systems using debuggers, logging frameworks, and instrumentation. Strong documentation practices for code and architecture.
Education
Bachelor's Degree in Computer Science or Related Field
Bachelor's degree or equivalent in Computer Science, Software Engineering, Computer Engineering, or related discipline. Formal education should demonstrate strong foundation in algorithms, data structures, systems theory, and software engineering principles.
Experience
10+ Years Commercial or Open-Source Software Development
Minimum 10 years of professional experience building commercial or open-source software systems. Demonstrated progression through increasingly complex technical challenges, with proven ability to architect and deliver production systems serving large user bases or handling significant scale.
Large-Scale Distributed Systems Experience
Substantial experience designing, implementing, or maintaining distributed systems handling petabyte-scale data or high-throughput transaction processing. Understanding of operational challenges, monitoring requirements, and disaster recovery procedures for mission-critical infrastructure.
Performance Optimization and Profiling
Track record of identifying and resolving performance bottlenecks in complex systems. Experience with benchmarking methodologies, performance regression detection, and optimization techniques across multiple system layers (algorithm, data structure, OS, hardware level).
Skills
Required
Java Programming
Production-level proficiency in Java for building large-scale systems. Experience with Java concurrency libraries, performance tuning, garbage collection optimization, and modern Java features.
C++ Programming
Production-level proficiency in C++ for systems programming. Experience with memory management, template programming, and high-performance code optimization.
Distributed Systems Design
Ability to architect systems with distributed consensus, fault tolerance, and consistency guarantees. Understanding of consensus protocols, data replication, and failure recovery mechanisms.
Database Systems Knowledge
Understanding of relational database concepts, transaction processing, ACID properties, and query execution fundamentals. Experience working with or building database systems, even if not as primary responsibility.
Data Structures and Algorithms
Expert-level knowledge of advanced data structures (trees, hash tables, graphs) and algorithm design. Ability to analyze complexity and select optimal approaches for technical problems.
Preferred
SQL and Database Internals
Nice to haveDeep knowledge of SQL semantics, query planning, and execution engines. Experience with database optimization including indexing strategies, query rewriting, and cost-based optimization techniques.
Query Optimization and Compiler Design
Nice to haveExperience with query optimization algorithms, query parsing, semantic analysis, and compilation techniques. Understanding of cost models, heuristic optimization, and plan generation strategies.
Distributed Key-Value Store Internals
Nice to haveFamiliarity with internals of systems like FoundationDB, Memcached, or Redis. Experience understanding how these systems implement consistency guarantees, replication, and fault tolerance.
Storage Engine Architecture
Nice to haveKnowledge of storage engine implementations such as RocksDB, InnoDB, BerkeleyDB, or LSM trees. Understanding of write optimization, compression techniques, and persistent storage strategies.
MySQL and PostgreSQL Internals
Nice to haveDeep understanding of MySQL or PostgreSQL architecture including buffer management, transaction processing, replication mechanisms, and query optimization techniques used in production databases.
Data Warehouse and Analytics
Nice to haveExperience with data warehouse design patterns, columnar storage formats, analytical query patterns, and large-scale data processing frameworks like Apache Hadoop and Spark.
Database Replication Technology
Nice to haveExperience implementing or working with database replication systems including master-slave replication, multi-master architectures, and maintaining consistency across replicas during failures.
Big Data Storage Technologies
Nice to haveKnowledge of distributed storage systems including HDFS, Cassandra, HBase, columnar databases, and other technologies designed for petabyte-scale data storage and retrieval.
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Base·USD 236,000 – 339,250
Full posting
Original listing.
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 Software Engineer to join our Database Engineering team. 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:
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 SOFTWARE ENGINEER WILL HAVE:
10+ years of industry experience working on commercial or open-source software.
Strong fluency in Java or C++.
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.
Bachelor’s degree or foreign equivalent in Computer Science, Software Engineering, or a related field.
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
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