Staff Site Reliability Engineer (Production Engineer)- Federal

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 now building a world class OLTP service on Postgres. We’re hiring Senior Postgres Engineers to help build the new Snowflake Postgres service. This is an exciting opportunity to help build a large scale, multi-cloud Postgres offering with access to an existing customer base. AS A SENIOR POSTGRES ENGINEER YOU WILL: Develop orchestration layer/ control-plane of large scale databases Work with AWS, Azure, and GCP APIs Build High Availability and Disaster Recovery solutions Tune Postgres to operate at scale for some of the largest datasets in the world Secure and ensure customer data is protected Work alongside some of the brightest minds in the industry and help redefine the space by inventing at various layers of the software stack — from broad distributed systems to low-level optimizations that fundamentally change the performance characteristics of the system to cater to our customer needs. OUR IDEAL SENIOR POSTGRES ENGINEER WILL HAVE: 7+ years industry experience designing, building and developing large scale systems in production Experience building and maintaining distributed, highly available, fault tolerant services Excellent understanding of low level operating systems concepts including multi-threading, memory management, networking, storage, performance,

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The opportunity We're looking for a Staff Product Manager to lead the strategy for Trucking Technology—the systems that plan, procure, dispatch, and settle every truck move in North America—and drive the unification of our fragmented ground transportation business into a single Flexport-owned platform by 2027. You will define the vision for how planning, procurement, and carrier experience integrate into one operating system and execute with high autonomy. This unification is critical for Flexport's long-term vision of an automated supply chain. By owning the full stack, we will consolidate demand, capture leaking margin, and deliver a high-quality experience across modes. You will also drive the next generation of trucking automation—including AI-driven appointment scheduling and automated dispatch—to continue the strategic initiatives in our annual operating plan. Sitting at the intersection of product, operations, and business, you will be measured by operational and financial impact rather than just features shipped. This role involves redesigning the operating processes themselves and persuading leadership to adopt new models. You will also raise the bar

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. Where Data Does More. Join the Snowflake team. Join our ML Feature Store team where we're building cutting-edge product capabilities that power complex feature transformations and low latency feature serving. We're revolutionizing machine learning feature management and serving capabilities as part of the Snowflake ML suite of products. In the era of GenAI and agents, our team delivers high-quality, fresh feature solutions that make a real difference for our customers. IN THIS ROLE AT SNOWFLAKE, YOU WILL: Help define and own the roadmap for Snowflake Feature Store, working collaboratively with senior architects and ML team leadership Build and execute a vision for incorporating new advances in machine learning Ensure operational excellence of services and meet reliability, availability, and performance commitments Collaborate across ML partner teams to improve development velocity and capabilities Support team members in delivering high technical quality WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE: 10+ years of experience in designing and building data serving infrastructure and/or machine learning platforms. Strong track record working with machine learning systems and platforms. Strong understanding of computer science fundamentals. B.Sc . in Computer Science Fluency in Ja

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. Come join us in this super high impact role as we build the future of Snowflake! Snowsight is the perfect place for data professionals to do their best work, and in this role you'll be making it even better. You'll join a wildly talented, multi-disciplinary team to not only reimagine existing Snowsight experiences, but also to extend it to exciting new surfaces and unlock high value business opportunities. Acting as a startup within Snowflake, together we'll iterate quickly, ship daily, and experiment continuously. This is a phenomenal opportunity to revolutionize how people across the world turn data into knowledge, and knowledge into opportunities. As a senior technical leader on this team, you'll have exceptional impact, both shaping and shipping amazing experiences — and helping the engineers around you do the very best work of their careers. YOU WILL: Act as a technical leader and deep domain expert across the stack, owning an area of the product end-to-end with an eye toward service health, quality, and customer experience. Lead large, cross-team projects from architecture through delivery — identifying opportunities, making the right trade-offs in the context of overall company goals, and driving them to completion. Leverage agentic AI to accelerate your work (and th

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. About Dynamic Tables Dynamic Tables (DTs) are Snowflake's declarative streaming transformation primitive. Customers define a SQL query and a freshness target; Snowflake handles the rest: orchestrating refreshes, maintaining snapshot consistency across a DAG of dependencies, and automatically incrementalizing the computation so that cost scales with what changed. Dynamic Tables is one of the fastest growing products at Snowflake and is a core part of Snowflake’s Data Engineering strategy. The Dynamic Tables performance team is responsible for making incremental refresh fast, predictable, and cost-efficient across increasingly complex query shapes. As a Staff Engineer on this team, you will own the technical direction for critical performance initiatives and be a force multiplier for the engineers around you. What You'll Do Lead the design and implementation of performance improvements to the incremental view maintenance engine, including multi-join incrementalization, novel incrementalization semantics, incremental window functions, and stacked operations. Help define the roadmap for the incremental view maintenance engine, identifying key performance, scalability, and correctness milestones, prioritizing high-impact enhancements, and aligning technical investments with prod

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. Unistore (Hybrid Tables) is Snowflake's strategic convergence investment—seamlessly combining OLTP and analytical workloads in a single unified database, and one of the company's most strategically differentiated bets. Operating like a startup within Snowflake, you will own revenue goals, define product strategy for the next phase of growth following our recent General Availability (GA) milestones, and coordinate go-to-market as the primary product authority for the area. OLTP-HTAP convergence is a fast-moving, high-stakes space with strong customer demand—making this one of the highest-visibility product leadership roles in the company and a rare opportunity to define the future of transactional and analytical convergence at scale. AS A STAFF PRODUCT MANAGER AT SNOWFLAKE, YOU WILL: Drive the Unistore product area end-to-end—including product strategy, roadmap prioritization, and go-to-market execution. Rally engineering and product leadership around a compelling 2-3 year vision for Unistore, identifying untapped market opportunities for the next frontier of hybrid data. Define and drive clear requirements for data movement, storage lifecycle, reliability, cost, and quality of service. Champion AI-driven workflows by defining how Unistore serves as the low-latency transacti