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Snowflake
San Mateo, CA, United States
Build the future of data. Join the Snowflake team. The Service runtime team's mission is to deliver a modern, distributed, cloud-native service fabric that ensures Snowflake can scale infinitely to meet rapidly growing customer demand across multiple cloud providers. Today the service platform manages the lifecycle for thousands of VMs and millio
Job Source: SnowflakeFederal Reserve Bank of Cleveland
San Francisco, CA, United States
Company Federal Reserve Bank of San Francisco We are the Federal Reserve Bank of San Francisco-public servants with a mission to advance the nation's monetary, financial, and payment systems to build a stronger economy for all Americans. We are a community-engaged bank, and are committed to understanding and serving the vibrant, expansive communit
Job Source: Federal Reserve Bank of ClevelandHigh-Tech Professionals
San Francisco, CA, United States
Software Engineer - Distributed Systems Job ID: 1782 Location: San Francisco Bay area Type: Permanent Status: Closed Key Skills: Distributed, parallel system software, C, C++, UNIX, storage architecture, cluster, database, storage IO data, full stack engineering, system develo Description: Seeking Software Engineer to design and build distrib
Job Source: High-Tech ProfessionalsGroq
Mountain View, CA, United States
At Groq. We believe in an AI economy powered by human agency. We envision a world where AI is accessible to all, a world that demands processing power that is better, faster, and more affordable than is available today. AI applications are currently constrained by the limitations of the Graphics Processing Unit (GPU), a technology originally develo
Job Source: GroqOpenAI
San Francisco, CA, United States
The Platform Runtime team builds the low level framework components to power our ML training systems. We work on building robust, scalable, high performance components to support our distributed training workloads. Our priorities are to maximize the productivity of our researchers and our hardware, with the goal of accelerating progress towards AGI
Job Source: OpenAIAirbyte
San Francisco, CA, United States
Airbyte is the open-source standard for EL(T). We enable data teams to replicate data from applications, APIs, and databases to data warehouses, lakes, and other destinations. We believe only an open-source approach can solve the problem of data integration, as it enables us to cover the long tail of integrations while enabling teams to adapt pre-b
Job Source: AirbyteGenai Works
San Francisco, CA, United States
About the Team The Platform ML team builds the ML side of our state-of-the-art internal training framework used to train our cutting-edge models. We work on distributed model execution as well as the interfaces and implementation for model code, training, and inference. Our priorities are to maximize training throughput (how quickly we can train a
Job Source: Genai WorksCensys
San Francisco, CA, United States
Censys knows the internet and cloud better than anyone else. Attack Surface Management provides customers with an attacker-centric view of all externally facing internet and cloud to extend visibility, prioritize, and remediate the most critical risk exposures that will actually lead to a breach. Our daily IPv4 scans and the world’s largest SSL/TLS
Job Source: CensysSan Mateo, CA, United States
Build the future of data. Join the Snowflake team.
The Cloud Services team builds and operates the system that allows Snowflake to process billions of queries per day and is critical to the continued growth of Snowflake. The team’s mission is to deliver a modern, distributed, cloud-native service fabric that ensures Snowflake can scale infinitely to meet rapidly growing customer demand across multiple cloud providers.
Today the platform manages all aspects of the query lifecycle and its execution, ensuring all of our customers are able to run fast, cost-effective, and accurate analysis and actions over their data.
This is just the beginning. The scale of our workloads continues to expand quickly and the types of workloads are more and more diverse as Snowflake enables ever-expanding types of compute natively in our platform. We need to continue innovating and designing for the future! We are seeking talented Principal Distributed Systems Engineers to lead strategic initiatives to support new workloads being built for the Snowflake Data Cloud while ensuring scalability, efficiency, and availability continues to exceed our customer demand.
You’ll work with some of the brightest engineers in the industry to deliver impactful results. To be successful, you’ll need to be deeply technical and capable of holding your own with other strong peers. You possess excellent communication, collaboration and diplomacy skills. You have many years of experience developing, deploying and operating large scale systems.
AS A PRINCIPAL DISTRIBUTED SYSTEMS ENGINEER AT SNOWFLAKE YOU WILL:
Lead significant engineering efforts in the Service team and beyond
Lead improvements to scalability, reliability, service health, supportability, observability and manageability of the product
As a domain expert, understand the state of the art, the design of competitive products, and be familiar with research in the area of distributed services
Develop and lead new ideas and innovations
Make contributions at the company-wide level with longer-term objectives, usually 1-3 years in duration.
Be a key decision-maker on technical or business issues, which significantly impacts roles and responsibilities of others
Regularly explore uncharted territory. Be aware of business trends and emerging technologies even outside the current business and determine how they can be leveraged to the advantage of Snowflake
OUR IDEAL DISTRIBUTED SYSTEMS ENGINEER WILL HAVE:
12+ years hands-on software engineering experience
6+ years of experience building large scale distributed, fault-tolerant services
Strong experience with database fundamentals including working with relational data, semi-structured data, and unstructured data
Strong systems programming skills including multi-threading, concurrency, caching, batching, low-latency compute, etc.
Strong and proven track record of leading large cross-team projects
Fluency in Java required
Strong experience with service-oriented architectures
Track record of identifying and implementing creative solutions
Experience with cloud infrastructure - AWS, Azure, and Google Cloud
Experience building systems that manage compute task or query lifecycles
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?
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.
Email Alert for Principal Distributed Systems Engineer jobs in San Mateo, CA, United States
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