Platform Engineering Lead in United States

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 the Team The Apps & Experiences (AppEx) organization powers the unified user experience (Snowsight) for Snowflake. Every major Snowflake customer interacts with our platform through these surfaces, making AppEx central to both customer satisfaction and revenue growth. Within Appex, our team sits at the intersection of AI, platform, and user experience. We are on a mission to create an AI‑first, scalable, maintainable, and extensible platform to build all Snowflake user experience features. The team owns: The serving layer that powers Snowsight, Snowflake CoWork, and UX features Developer tooling that enable our engineers to move fast and deliver Frontend infrastructure and shared services for product teams CI pipelines that ensure fast and reliable builds Testing and validation platform that maintains code and product quality The monitoring and logging stack that ensures observability and trust What You Will Do As a software engineer on the team, you will play a central role in delivering the next generation of tools and evolve our developer infrastructure and tooling to be scalable, highly performant, and AI-first. Design and build AI-first platforms, tools, and best practices to significantly enhance the developer experience for Snowsight Drive strategy and init

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. Our team builds and operates Snowflake's Streaming Platform — the core infrastructure responsible for bringing data into Snowflake continuously and at scale. This includes Snowpipe Streaming and Datastream, services used by large set of enterprise customers to move mission-critical data in real time. Data is the fuel powering the new enterprise AI world, and we are the team responsible for getting it there reliably, continuously, and fast. Responsibilities Design, build, and maintain core components of Snowflake's streaming ingestion platform Improve service reliability, scalability, and latency under high-throughput production workloads Debug and resolve incidents in a distributed, multi-tenant cloud service Contribute to the design and evolution of streaming APIs, SDKs, and server-side protocols Write comprehensive tests including unit, integration, and chaos/fault-injection scenarios Collaborate with partner teams (storage, query, compute) on cross-cutting platform concerns Participate in code reviews, on-call rotations, and architecture discussions Required Qualifications 3–5 years of software engineering experience on large-scale distributed systems or cloud services Strong proficiency in Java or C++ Deep understanding of distributed systems concepts: consistency, faul

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. Streamlit in Snowflake (SiS) is our flagship app development platform, enabling data engineers, analysts, and developers to build and deploy interactive, data-driven applications directly within Snowflake. As Principal Engineer for the Streamlit in Snowflake team, you will be the top technical voice shaping how millions of users build and deploy apps on Snowflake's data platform. This role requires a rare combination: deep hands-on engineering expertise in Python/container runtimes, a systems architect's instinct for platform design, and the organizational influence to drive cross-team programs. You will define how SiS evolves from its container-native SPCS runtime and embedding/iframe SDK, to its developer experience, performance at scale, and integration with Snowflake's broader AI and data ecosystem. AS THE PRINCIPAL ENGINEER FOR STREAMLIT IN SNOWFLAKE YOU WILL: Define and own the architectural vision for the SiS platform spanning the SPCS container runtime, the warehouse runtime, the embedding SDK, developer tooling, and the Snowsight integration layer. Drive the platform's evolution toward its next-generation capabilities building on publicly shipping features like chromeless viewer URLs and IdP integration, and shaping the architectural direction for areas still in de

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. Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse using Apache Iceberg — at dramatically lower cost. OpenTelemetry is the foundation of how customers send data to Observe, and we are making significant investment in upstream OTel contributions to ensure Observe is the best destination for OTel-instrumented environments. As a Senior Software Engineer on the OpenTelemetry team, you'll play a key role in driving Observe's open-source strategy within the OpenTelemetry ecosystem. You'll work on some of the most exciting challenges in telemetry collection and instrumentation — expanding coverage into emerging domains like LLM/AI observability and Browser RUM — while collaborating closely with the OTel community to shape the standards that the industry builds on. AS A SENIOR SOFTWARE ENGINEER - OBSERVE BY SNOWFLAKE, OPENTELEMETRY, YOU WILL: Pioneer new instrumentation capabilities in the OpenTelemetry community, defining and building next-generation telemetry collection for emerging domains including LLM/AI inference, Browser RUM, and mobile. Design and implement OTel Collector components (receivers, processors, exporte

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. Observe by Snowflake is an AI-powered observability platform built on the Snowflake Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lake using open formats like Apache Iceberg, delivering deep correlation and long-term analytics at dramatically lower cost. A dynamic Knowledge Graph and chat-based AI SRE provide rich context and guided workflows so teams can move from detection to root cause and resolution significantly faster. The Infrastructure team at Observe by Snowflake is responsible for building, scaling, and operating the development and production environments that power our observability platform. We are a small, highly collaborative team with a broad scope, focused on delivering reliable infrastructure while continuously improving the systems that support our engineers and customers. What You’ll Do Design, build, and operate scalable cloud infrastructure in AWS supporting a high-scale observability platform. Improve system reliability, performance, and operational visibility across development and production environments. Develop and maintain CI/CD pipelines and internal tooling to improve developer productivity and deployment safety. Identify and mitigate security risks, and help maintain intern

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. There is only one Data Cloud. Snowflake’s founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn’t stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. Easily analyze your unstructured data, build data agents and create ML workflows using a comprehensive suite of AI services, all within the same secure and governed environment as your data. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow. The identity & access management (IAM) team’s charter is to enable our customers to confidently bring their most sensitive data and workloads to Snowflake. We provide the authentication and authorization capabilities for customers to secure their Snowflake accounts. We are heavily focused on critical AI adoption and security capabilities like Snowflake Intelligence access control, MCP server and clients, Agent identity, Admin guardrails for agents etc. Our feature set includes capabilities like user management, secret-less authentication for both human and service

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. We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Snowflake is striving to become the cloud data platform of choice for everyone who needs affordable, reliable, scalable and elastic data management. Armed with great technical talent, our expanding product offering is designed for the cloud and automatically handles infrastructure, optimization, availability, data protection, and more so our users can focus on using their data, not managing it. And we’re doing this across all the major cloud providers, breaking new ground in what it means to be multi-cloud and cloud agnostic. We are looking to hire an experienced Senior Technical Program Manager who can be part of a world-class team that builds Snowflake’s product and cloud platform. This role is a unique opportunity to make a significant impact by building a flexible, large scale, high-performance, and resilient platform for Snowlake features and services. Be part of the vision to create the best data cloud platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration. AS A SENIOR TECHNICAL PROGRAM MANAGER, YOU WILL: Be re

About the Team API Frontiers turns OpenAI’s frontier models into production APIs that developers can use to build reliable products and agents. We own the core path connecting models to developers through the Responses API, with a focus on safety, reliability, and speed. Working closely with Research, Safety, Codex, and other API teams, we bring new model capabilities into production and improve them through developer feedback. About the Role We are looking for a backend software engineer to build and operate the services behind the Responses API. You will shape API behavior, bring new capabilities from research into production, and make long-running agent workflows dependable and fast. The work combines distributed systems engineering with product judgment: designing useful developer interfaces, managing staged rollouts, and following production issues through to durable fixes. In this role, you will: Design, build, and operate APIs and backend services that bring frontier model capabilities to developers. Partner with Research, Safety, Codex, and API teams to define API behavior and deliver safe, staged launches. Build API capabilities for agent workflows, including task delegation, context sharing, and parallel execution. Strengthen long-running request reliability across timeouts, cancellation, streaming, and background execution. Improve request-processing performance and tail latency through profiling, efficient systems code, and persistent connections. Turn developer feedback and production failures into better observability, diagnostics, and lasting product improvements. Your background might look something like: 5+ years of experience building and operating backend services or developer-facing APIs in production. Strong software engineering fundamentals, with practical knowledge of distributed systems, concurrency, and asynchronous execution. Ability to diagnose production failures and performance bottlenecks using observability data and profiling. Product

Datadog Sales Engineers help qualify and close opportunities with customers and partners by providing technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POCs). As a Sales Engineer 2, you will independently own technical engagements throughout the sales cycle, partnering closely with Customer Success Managers to align customer business objectives with Datadog's platform. You will also collaborate across Engineering, Support, Product, and various other cross-functional teams to resolve customer concerns, advocate for customer needs, and serve as a trusted technical advisor throughout the evaluation process. If you want to join a friendly, passionate team with limitless potential, we'd love to meet you! At Datadog, we place value in our office culture, the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Partner with the Customer Success team to articulate Datadog's value proposition, vision, and technical strategy throughout the sales cycle. Deliver tailored product demonstrations and technical presentations that map customer challenges to Datadog solutions. Assist with technical discovery by identifying customer business objectives, technical challenges, and success criteria. Own technical evaluations (POCs) from kickoff through successful completion, proactively driving customer engagement and removing technical blockers. Continually expand your expertise across Datadog's platform while building competitive knowledge and technical credibility. Develop trusted relationships with customer technical stakeholders, communicating business value to buying teams and helping position accounts for a successful long-term partnership that sets the stage for future growth. Contribute to team success by sharing best practices, mentoring newer Sales Engineers, and

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 runs large scale cloud infrastructure to deliver its own service — production and internal deployments, Kubernetes fleets, CI/CD, etc. Our cloud spend is in billions of dollars per year. The Cloud Efficiency team builds a unified, self-serve cloud efficiency platform along with AI skills and agents that makes spend observable, attributable, governable while driving recommendations and optimization of our cloud spend. AS A SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL: Design, develop, and maintain scalable platform for resource ownership registry, usage attribution, utilization measurement, and cost modeling. Build AI agents, tools and automation to enhance system monitoring, alerting, and root cause analysis. Improve and optimize data ingestion, storage, and query efficiency for cloud utilization, cost and efficiency data at scale. Collaborate with teams across Snowflake to understand attribution and observability needs and implement solutions that improve operational visibility. Contribute to open-source and industry best practices in monitoring and distributed systems monitoring. Ensure high availability, reliability, and performance of team-managed platforms by participating in on-call rotations and incident management. Partner with Finance, Product and Engineering

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. Ramp is building an AI-native platform that changes how Go-to-Market and Product Growth teams create, launch, and improve customer-facing experiences. We are looking for a product-minded backend engineer to help build the infrastructure and services that power modern growth and marketing at Ramp. The next chapter for this team is to build marketing-led products : intelligent tools that turn strategy into execution, automate complex workflows, and help teams operate across channels with dramatically more leverage. The team will build across creative production, lifecycle marketing, paid media, account-based marketing, experimentation, incentives, and cross-channel orchestration. Examples include AI-powered systems that produce on-brand campaign assets, automate complex marketing workflows, coordinate audiences and execution, and deliver personalized experiences across email, sales outreach, external channels, and Ramp’s product. A core part of this mandate is Ramp’s incentives platform. We are building shared infrastructure to safely target, authoriz

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Over the past few years at Ramp, we've reimagined how businesses manage spend, and the backbone of that vision is Procure-to-Pay. The P2P team builds the systems that connect vendors, invoices, and payments into one seamless, automated flow. It's where billions of dollars move through our platform, and every line of code matters. We're looking for a backend engineer who loves complex systems, obsesses over correctness, and wants to shape how money moves in modern finance software. You'll help design and scale the infrastructure that powers our payment rails, ensures auditability across products, and unlocks the next wave of AI-driven automation. It's a chance to work on systems that actually move money, with a team that cares deeply about precision, reliability, and scale. The problems are tough, the stakes are high, and the impact is massive. What You'll Do Design and build core P2P systems, from invoice ingestion and approval workflows to payment orchestration and reconciliation logic. Enable AI agents to classify, validate, and pro

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role As an iOS Engineer at Ramp, you’ll enhance our successful and rapidly growing mobile app. You will improve the core platform that thousands of businesses rely on while also building the future of automated finance by integrating AI and intelligent agents into the mobile experience. This is a chance to grow your skills on a proven product and define the next generation of fintech. Check out our Engineering Blog for more on our tech stack, mission, and values! What You’ll Do Design, build, and launch new products to Ramp’s iOS app. Help establish engineering processes, tools, and systems that allow us to scale the code base and productivity. Conduct code reviews and set engineering standards. Work with Product and Design to identify key features that will make the app successful. Work alongside Product and other cross-functional teams to understand customer feedback and continuously improve our product. What You Need Minimum 1 year of experience in mobile development. Proficiency in Swift and SwiftUI for iOS development. Experience laun

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role The Onboarding team owns the product flows and platform that powers all new customer account creation at Ramp. This includes Ramp's application decisioning system that interfaces with our fraud, compliance, and credit underwriting models. As an engineer here, you’ll own workstreams that expand Ramp's total serviceable market and improve the end-to-end customer onboarding experience. You’ll partner with product, data, and design, and work directly with stakeholders across sales, marketing, risk strategy, operations, and finance to accelerate Ramp’s growth. This role offers the opportunity to have an outsized impact on Ramp’s overall growth trajectory. What You’ll Do Build software to grow Ramp to its next millions of users Scale the output of our application decisioning ops team through automation and AI assistance Drive business outcomes through metric-driven software development Own the customer journey from discovering and applying to Ramp through getting approved for and onboarding to the product What You Need Minimum of 2 years of

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role As an Android Engineer at Ramp, you’ll enhance our successful and rapidly growing mobile app. You will improve the core platform that thousands of businesses rely on while also building the future of automated finance by integrating AI and intelligent agents into the mobile experience. This is a chance to grow your skills on a proven product and define the next generation of fintech. Check out our Engineering Blog for more on our tech stack, mission and values! What You’ll Do Design, build, and launch new products to Ramp’s Android app Help establish engineering processes, tools, and systems that allow us to scale the code base and productivity Conduct code reviews and set engineering standards Work with Product and Design to identify key features that will make the app successful Work alongside Product and other cross-functional teams to understand customer feedback and continuously improve our product What You Need Minimum 1 year of experience in mobile development Proficiency in Kotlin and Compose for Android development Experience