Staff Software Engineer - Distributed Data Systems

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. Staff Software Engineer – File Ingestion (Customer-Facing Services) Build the Future of the AI Data Cloud Snowflake’s File Ingestion team owns the core engines behind COPY INTO and Snowpipe — the primary arteries landing customer data into the AI Data Cloud at hundreds of petabytes per quarter. We are expanding our core mission to build next-generation, external-facing ingestion services that directly expose file-ingest capabilities to external platforms, partner ecosystems, and customer applications. As a Staff Software Engineer , you will lead the architectural vision and execution for these mission-critical, customer-facing services. You will operate at the intersection of high-throughput distributed systems, API platform design, and direct customer feature delivery, defining how enterprise data seamlessly flows into Snowflake at global scale. What You’ll Do Drive Technical Vision & Architecture: Define the multi-year architecture and technical strategy for high-throughput, external-facing ingestion services and APIs across multi-cloud environments (AWS, Azure, GCP). Deliver Customer-Facing Innovations: Lead the end-to-end execution of enterprise-grade external features, ensuring low-latency data landing, high availability, and seamless ecosystem integration (e.g., S

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,

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Storage Platform team builds and operates the platform that powers database access across Robinhood. We own relational (Postgres/Aurora), key-value (DynamoDB), and caching systems, along with the SDKs, control plane automation, and data plane services that enable safe and reliable access at scale. Our mission is to standardize and strengthen how services connect to storage, improve reliability and performance, and reduce operational overhead through automation. We manage thousands of databases and hundreds of caching clusters supporting millions of users and critical brokerage workloads. Availability is our highest priority — our systems are designed to meet strict uptime targets, including no downtime during market hours. As a Staff Software Engineer , you will design and evolve the core infrastructure that underpins Robinhood’s storage systems. You’ll lead complex distributed systems initiatives such as horizontal sharding, proxy-based query routing, connection pooling, and cross-shard transactions. You’ll work on improving database reliability, performance, and cost efficiency across multi-region deployments. This role has a direct impact on system availability, laten

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Sr. Staff Software Development Engineer-AI Security to join our team. This is a Hybrid (based in San Jose, CA or Bellevue, WA with a 3 days in office requirement) role, reporting to the Director of Software Engineering in the Emerging Tech department. You will be responsible for designing and implementing core infrastructure components and distributed systems, serving as a foundational architect for our AI security solution. This high-impact role focuses on scaling security infrastructure to support hundreds of millions of users, collaborating with stakeholders across the development lifecycle to drive innovation and technical excellence. What you’ll do (Role Expectations) Architect, develop, and optimize a low-latency, high-throughput AI Security plane utilizing Rust, specifically leveraging its async/await model for highly efficient I/O and service-oriented architecture Build resi

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Observability Engineering owns the breadth and depth of observability and telemetry at Smartsheet. We build and operate the shared platform every engineering team depends on to understand how their software behaves in production (metrics, logs, distributed traces, RUM, synthetics, and AI/agentic telemetry) across a global, multi-region, commercial and government footprint. We are consolidating ownership of all of it into a single correlated platform, and treating telemetry as what it actually is: one of the largest and most valuable datasets at the company. It's a broad mandate with real scope to shape, and we hold this internal platform to the same rigor, reliability, and product standards as customer-facing software. As a Principal Software Engineer (Observability & Telemetry Data) , you will set the technical direction for how Smartsheet collects, models, stores, and derives value from telemetry data. This is an architect role: you will define the telemetry data platform and the standards that govern it, carry that architecture across engineering org boundaries, partner with our Data and AI Platform teams on Databricks and MLflow integration, and act as the company's definitive technical voice on observability. You will influence roadmaps you do not own, resolve the hard design trade-offs between fidelity and cost, and raise the technical bar for every engineer instrumenting a service. This full-time position reports to the Team Lead, Observability Engineering and can be located in our Bellevue, WA off

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The mission of our team is to build a scalable and secure AI platform that enables security teams across Robinhood to develop and operate AI-powered agents and security solutions with confidence. As a Staff Software Engineer on the AI Security team, you’ll help lead and build the foundational platform, infrastructure, and security primitives that make it easier for teams to develop AI-powered security capabilities at scale. You’ll work on complex engineering problems at the intersection of AI, distributed systems, and security, with a particular focus on areas such as identity, authentication, authorization, encryption, and platform safety. You’ll partner closely with security and engineering teams across Robinhood to create systems that make AI development easier while ensuring security is built into the platform from the start. This is a hands-on engineering role for someone who enjoys building platforms, solving complex technical problems, and helping shape how AI is securely adopted across security. This role is based in our Menlo Park, CA and Bellevue, WA office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power