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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. The Billing & Payments Platform team builds Snowflake's central data repository and infrastructure for customer resource consumption, revenue processing, invoicing, and reporting. Our systems power Snowflake's business and enable every other engineering team — and the architectures we ship double as reference patterns for our customers building on Snowflake. Computing Snowflake's bills, at its core, is a challenging distributed systems problem: real-time usage metering across every cloud and region, and supporting an ever-evolving catalog of pricing models — including the new commercial constructs we are inventing for Cortex AI, Snowflake Intelligence, and the broader agentic AI portfolio . Our applications must meet strict requirements for accuracy, auditability, and low-latency processing. This is a deeply cross-functional role. You will partner daily with Product, Finance, Legal, Growth, Go-to-Market Systems, Snowsight UI, Cortex AI, and product engineering teams across Snowflake to deliver experiences that customers and internal stakeholders depend on every day. What You'll Do As a Senior Software Engineer on Billing Platform, you will: Own medium-sized projects end-to-end — from design through launch and operation — and contribute as a key engineer on large, multi-

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Our Infrastructure team is passionate about building software to solve problems at massive scale. We do this often, and when we believe our solution is worth sharing with the community, such as Envoy Proxy , we open source our ideas for the benefit of others. As a Infrastructure Engineer at Lyft, you will run our Production Infrastructure by monitoring system availability and take a holistic view of our platform health. You will build software and platforms to automate infrastructure platform operations and management. By measuring and monitoring our operations you will seek opportunities to optimize our systems in order to push our platform forward, anticipating our customers' needs in order to continually improve the platform. You will provide Lyft partner teams with operational support to help them build robust large scale distributed systems. About the Team Data Pipelines is at the heart of all critical data flowing through Lyft supporting hundreds of services that impact millions of drivers and passengers every day. Our team’s mission is to empower Lyft engineers to self-serve in building and maintaining data pipelines as needed to support products that deliver the world’s best transportation experience. We leverage a variety of technologies to store, stream and manage data making it available to our internal customers. Responsibilities: Maintain and analyze metrics from; operating systems; control planes; and applications to assist in fault detection and performance enhancement Design, develop and deploy tooling and systems that continually improve the reliability, scalability and efficiency of our platform Balance feature development speed and reliability with service-level objectives Operate and improve our Infrastructure using industry best practices and tools Participate in design and

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 Streaming Platform team’s mission is to enable real-time, reliable, and scalable data streaming across Robinhood’s products and infrastructure. We build and maintain foundational platforms that power communication between services and unlock streaming analytics across the company. Our systems are critical to Robinhood’s ability to build innovative financial products and deliver seamless experiences to our customers! As a Senior Software Engineer , you’ll design, develop, and operate distributed systems that support core data pipelines and real-time event processing. You’ll collaborate with engineers across product, data, and ML teams to scale our platform, improve reliability, and enhance the developer experience across the company. Here’s some of the exciting challenges the team has been solving: Robinhood’s Use of WarpStream for Logging Robinhood’s Kafka Journey from EC2 to Kubernetes Robinhood’s Kafka Proxy This role is based in our Bellevue, WA office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is i

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity At New Relic, we provide our customers real-time insights, so they can innovate faster. Our software delivers insightful observability tools across different technologies and distributed systems, enabling software engineering teams to quickly identify, understand and tackle issues, analyze performance and get the most of their software and infrastructure. The Infrastructure product organization develops New Relic infrastructure instrumentation agents, next generation data processing and management services, vulnerability management, and security testing capabilities for on-prem and cloud customers. We work with data at a scale using a diverse tech stack (Go, Java, JavaScript, React GraphQL, Kubernetes, many public cloud web services, and more). As a senior backend engineer, you will help us build and extend next generation solutions such as a control plane for customers to manage their data pipelines at scale. New Relic is looking for engineers who are interested in building a brand-new observability experience. This high-impact engineering position is a phenomenal opportunity to own and build a set of next generation services and capabilities for the company. We are searching for a motivated engineer who is ready for a career-defining role in their next opportunity. We look forward to talking with you! What you'll do ● Design, Build, maintain, and scale back-end services and their support tools. ● Participate in architectural definitions with a high degr

Enterprise Advanced is a distributed team across Europe and India that builds the software running MongoDB on any infrastructure, at global scale — from on-prem data centers to private cloud. You'll work primarily on Ops Manager and Automation, the systems that let customers deploy fault-tolerant, globally distributed MongoDB clusters in minutes. Our software manages some of the largest self-managed MongoDB deployments in the world, with production clusters running hundreds of shards and nodes under a single deployment. The main focus of this team is to adapt our software to manage MongoDB clusters which are deployed in data centers or private cloud platforms. You will work on the core functionality for all of our products, mainly on the Ops Manager , and Automation products. Our team's end users are some of the largest businesses in the world, deploying massive clusters and processing huge amounts of data. This role is based in our Gurgaon office, and can work in a hybrid fashion. This role will report to the Senior Engineering Manager also based in our Gurgaon office. What you’ll do Design, implement, test, and release features for Ops Manager Own end-to-end delivery of complex projects, from design through incremental shipping Troubleshoot and resolve issues surfaced in customer deployments running at scale Apply engineering judgment and MongoDB's core values across planning, design, and code review A great fit for this role will be You enjoy distributed-systems problems; consistency, fault tolerance, and scale are the daily reality, not edge cases People who like ambiguity and are comfortable defining their own approach with guidance, not step-by-step instruction You're flexible! You're willing to take on a wide variety of responsibilities, learning as you go You're a self-starter! You're comfortable organizing your own time, acting on feedback and prioritizing with guidance from senior members of your team Requirements 4+ years experience with a language

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. About the role PagerDuty’s Operations Cloud runs on a platform that ingests billions of signals and turns them into real-time action for thousands of customers. We’re looking for an early-career AI/ML Engineer who is excited to grow at the intersection of two disciplines: large-scale distributed systems and machine learning. In this role you will help build and ship AI systems that run in production at PagerDuty’s scale — powering Incident Management AI Agents, event intelligence, and the LLM-powered capabilities embedded across our platform. You’ll work alongside senior engineers on real production problems, learning how AI features go from a prototype to something that serves reliably at scale. We are looking for a candidate who is genuinely excited about building with modern AI — LLMs, agents, and retrieval — eager to learn how resilient, high-throughput systems are built, and motivated to grow into an engineer who is strong in both. What you’ll do Contribute to AI-powered features — LLM agents, retrieval, and event intelligence — that operate on high-volume, real-time data, with support and guidanc

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. About the role PagerDuty’s Operations Cloud runs on a platform that ingests billions of signals and turns them into real-time action for thousands of customers. We’re looking for a Senior AI/ML Engineer who lives at the intersection of two disciplines: large-scale distributed systems and applied AI. In this role you will design and ship AI systems that run in production at PagerDuty’s scale — powering Incident Management AI Agents, event intelligence, and the LLM-powered capabilities embedded across our platform. You’ll own the full lifecycle, from framing the problem to serving reliably at scale. We are looking for a candidate who is genuinely passionate about building with modern AI — LLMs, agents, and retrieval — but grounded in the realities of building resilient, high-throughput systems. What you’ll do Design and build AI-powered features — LLM agents, retrieval, and event intelligence — that operate on high-volume, real-time event streams, from problem framing through production deployment and monitoring. Architect and own the systems behind them: agent and prompt orchestration, retrieval pipelin

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity At New Relic, we provide our customers real-time insights so they can innovate faster. Our software delivers insightful observability tools across different technologies and distributed systems, enabling software engineering teams to quickly identify, understand, and tackle issues, analyze performance, and get the most out of their software and infrastructure. This is a unique opportunity to shape the future of observability while pioneering the next generation of engineering: we are actively revolutionizing how we build software by embedding modern, agent-powered workflows directly into our daily development lifecycle. You’ll tackle complex distributed systems problems while helping drive internal innovation on the frontlines of AI-assisted engineering. About the team This position is for the Service Architecture Intelligence team. You will be building, improving, and maintaining a distributed service architecture capable of ingesting large volumes of data, analyzing spans and traces, and publishing them downstream so the UI can offer an exceptional experience to our customers. We work with data at scale, and our pipeline is built with a diverse tech stack (Java, Kafka, Redis, public cloud services, and more). You will work alongside a team of talented engineers solving complex distributed systems challenges. If you're passionate about performance and scale, and want to contribute to one of the largest and fastest-growing observability platforms while co-crea

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

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Senior Python Engineer on the Prague-based Autotriage team, you will drive the development of infrastructure and tools that automatically triage failed tests across Everpure’s large-scale automated environments. By building a distributed, modular system that analyzes failed jobs and groups related issues via signature matching, you will empower engineering teams to prioritize effectively and avoid repetitive analysis. You will combine technical expertise with leadership qualities, collaborating with cross-functional teams globally to introduce ongoing enhancements, including new analysis modules and AI-based insights. WHAT YOU'LL DO Design and build advanced tools to analyze test failures across a multi-machine hardware and software stack within a continuous integration automation framework. Operate, maintain, and troubleshoot high-quality CI/CD processes to prevent bottlenecks and ensure the infrastructure remains robust and reliable. Apply a data-driven approach to identify and resolve root causes, delivering continuous support that makes code delivery easier and more efficient for internal engineering teams. Coordinate with various engineering teams across time zones to ensure important fixes are delivered in a timely manner and proactively make improvements to integration tools. We are primarily an in-office environment and therefore, you will be expected to work from the Prague office in compliance with

The Application Modernization Platform (AMP) team is dedicated to solving one of the industry's biggest challenges: transforming rigid, legacy applications that suffer from poor scalability and high operating costs into modern, microservices-based architectures on MongoDB. To accelerate this transition, MongoDB is building a dedicated Platform and Infrastructure team to develop the Application Modernisation Platform and Infrastructure . As we help customers modernize their application and data ecosystems, we face the challenge of deploying complex tooling into highly restrictive client environments and architecting automated verification frameworks to ensure data equivalence. This new team will architect the platform foundation and infrastructure that enables a "build once, run anywhere" model, ensuring our AI-powered modernisation suite operates seamlessly regardless of a client's security or network constraints. We are looking for engineers to join this high-visibility initiative, where you will solve unique distributed systems puzzles and help shape the future of how global enterprises leverage data and AI. We are looking for an experienced Software Engineer who thrives on solving infrastructure constraints and building developer-centric modernisation platforms with a strong background in building software testkits/frameworks. The ideal candidate will be designing and building automated frameworks that validate functional equivalence, performance benchmarks, and data integrity. From leveraging LLMs for unit test generation to building contract testing frameworks, your work will be the safety net for the world’s largest enterprise migrations. This role will be based in our India office in Gurgaon and offers a hybrid working model. Position Expectations Contribute high-quality, well-tested code to the modernization and framework team and its surrounding services Collaborate effectively with Product Management, other engineers, and designers to build and deliver on

Opportunity Overview: This is a unique opportunity to join a high-caliber software engineering team that is experiencing rapid growth. You’ll play a key role in building impactful healthcare technology on a modern technology stack, with a focus on our core data and AI platforms. Your work will focus on enhancing the platform's key features, while also balancing scalability, reusability, and performance. As a Staff Engineer on the Application Engineering team, you’ll serve as a senior technical leader - responsible for designing and delivering high-quality, scalable software systems that power Cohere Health’s core platform. You’ll act as a multiplier, elevating the technical bar for the team, mentoring engineers, and partnering with product, data, and clinical teams to deliver solutions that meet compliance, quality, and performance standards. This role is ideal for engineers who thrive on solving complex problems in healthcare, have deep expertise in building distributed systems, and want to influence architecture and engineering practices at scale. What you’ll do: Technical Leadership & Architecture Define and drive the architecture of large-scale, distributed application systems across the Cohere platform. Ensure solutions are secure, performant, maintainable, and compliant with NCQA, CMS, and payer requirements. Champion engineering best practices in CI/CD, testing, release management, and observability. Hands-On Engineering Write clean, maintainable, and well-tested code, primarily in modern frameworks (e.g., Python, TypeScript/React, Java/Kotlin). Lead the development of core features and APIs that directly impact providers, payers, and patients. Partner with DevOps and Data teams to ensure seamless integration, scalability, and operational readiness. Quality & Compliance Focus Embed automated testing, monitoring, and release safeguards into the development lifecycle. Proactively address compliance and audit-readiness requirements in application

Opportunity Overview: This is a unique opportunity to join a high-caliber software engineering team that is experiencing rapid growth. You’ll play a key role in building impactful healthcare technology on a modern technology stack, with a focus on our core data and AI platforms. Your work will focus on enhancing the platform's key features while also balancing scalability, reusability, and performance. As a Staff Engineer on the Application Engineering team, you’ll serve as a senior technical leader - responsible for designing and delivering high-quality, scalable software systems that power Cohere Health’s core platform. You’ll act as a multiplier, elevating the technical bar for the team, mentoring engineers, and partnering with product, data, design , clinical and payment teams to deliver solutions that meet compliance, quality, and performance standards. This role is ideal for engineers who thrive on solving complex problems in healthcare, have deep expertise in building distributed systems including data solutions, and want to influence architectural decisions for security and scale, drive cross-collaborations for alignment, establish technical standards for consistency and evolve both application and data engineering best practices at scale. What you’ll do: Technical Leadership & Architecture Define and drive the architecture of large-scale, distributed application systems across the Cohere platform. Ensure solutions are secure, performant, maintainable, and compliant with NCQA, CMS, and payer requirements. Champion platform engineering best practices in CI/CD, testing, release management, and observability. Hands-On Engineering Write clean, maintainable, and well-tested code, primarily in modern frameworks (e.g., Python, TypeScript/React, Java/Kotlin). Lead the development of core features and APIs that directly impact providers, payers, and patients. Partner with DevOps and Data teams to ensure seamless integration, scalability, and operati

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. Senior Software Engineer, Backend 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. Robinhood’s engineering organization spans Crypto, Brokerage, and Core Engineering, each responsible for systems that are foundational to how customers invest and manage their money! These teams build and operate platforms for trading, custody, ledgers, reporting, payments, and shared infrastructure, with a strong focus on correctness, reliability, and customer trust. Engineers partner closely with product, design, data, and infrastructure teams to deliver software that performs at scale. As a Senior Software Engineer, you will design and build large-scale distributed systems that support real-time trading, balances, and platform capabilities. You will lead technically complex projects, contribute to architectural decisions, and collaborate with frontend and data partners to deliver well-structured APIs. Your work will directly influence system performance, operational safety, and long-term maintainability across core Robinhood products. This role is based in our Menlo Park, CA and New York, NY offices, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress,

We are seeking a Staff Engineer to join our growing team to provide technical direction and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB. As a Staff Engineer on this new team, you will be responsible for providing technical leadership to teams developing cutting edge technologies related to enabling deployment at scale of AI applications. You will take on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day. We value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. We're looking to speak with candidates based in the New York City area for our hybrid or in-office working models. Position Expectations Work closely with product management, product engineering, product design peers as well as other teams within the company to define the first version and future evolution of the service Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow Mentor fellow engineers and assume ownership and accountability of projects Qualifications Strong background in building core components for high scale compute and data distributed systems 8+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed and/or highly concurrent software s