Senior Distributed Systems Engineer Jobs

Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant in the future. Are you ready for a change? We are looking for an experienced software engineer to play a critical role in further scaling and developing Toast’s cloud platform and infrastructure. Toast’s platform processes billions of requests per day from hundreds of internal services and hundreds of thousands of mobile devices; these numbers grow exponentially year over year as we add new restaurants and capabilities to the platform. Our team is responsible for developing secure, observable, highly available, large-scale shared services and infrastructure. About this roll * (Responsibilities) Architect, design, and deliver ultra-reliable, high-performance services and infrastructure used by millions Uncover and resolve performance bottlenecks across infrastructure, databases, and APIs Define and enable adherence to engineering best practices, coding standards, and architectural guidelines Collaborate closely with the Product team to influence features, technical direction, and long-term product vision Do you have the right ingredients? Hands-on experience building and operating complex, mission-critical, large-scale distributed systems in the Cloud Expertise in asynchronous messaging, event-driven architecture, APIs, and integration patterns Track record of delivering clean, maintainable, and resilient code that stands the test of time Proficiency in Java or Kotlin preferred (experience in other modern

JOB TITLE Senior Data Engineer, Proprietary Research A CAREER WITH POINT72’S PROPRIETARY RESEARCH On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions our investment professionals care about most. We look for other bright, motivated, and collaborative people to join our team and grow with us—more than 90% of the leaders in our group were promoted from within. WHAT YOU'LL DO Senior Data Engineers on the Proprietary Research team design and build Data & AI Platform to transform structured and unstructured data into actionable insights. As a member of our Data Engineering team, you will work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end business solutions including data pipelines, products and tools that help extract the most value out of Point72’s data assets. In this role, you will: • Design and build big data pipelines for ingestion, transformation, trend creation, and delivery of AI-ready data assets. • Develop reusable software components, libraries, and APIs to support experimentation and production deployment. • Implement data quality, lineage, and governance controls to ensure datasets are reliable, auditable, and compliant. • Build scalable, AI-native, cloud-based infrastructure using distributed systems and modern cloud technologies. • Optimize system performance, cost, and reliability through benchmarking and continuous improvement. • Explore emerging Data and AI technologies, run proof of co

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Card Loan Platform team builds the high-throughput decision engine at the heart of Affirm’s card products. Unlike traditional cards, every pay-later transaction is backed by its own unique loan, and our system is the "invisible piping" that makes this complex model work at scale. Every swipe triggers our platform to solve a hard problem in milliseconds: matching messy, fragmented payment network data to the correct loan to drive real-time approvals, origination, and refunds. As Affirm experiences explosive growth, our team's contributions are a key enabler. This isn't just another backend role; you'll be building the "financial brain" for our flagship card products, with your work on the critical path for every single swipe. We're tackling a unique, high-stakes distributed systems challenge that demands exceptional correctness and massive scale. You will partner closely with product, data science, and engineering teams to design and build the future of our industry-leading money movement platform. If you are passionate about making foundational design decisions and building a beloved, lasting financial brand—come join us. It’s going to be an amazing ride! What you'll do Drive technical strategy by leading the planning, prioritization, and execution of projects, ensuring alignment with product, technical, and business goals. Lead the end-to-end system design and development of large-scale, high-availability services. This includes building robust APIs and data models for our micro-service and event-driven architectures. Collaborate across functions with partners in Product, Analytics, Design, Legal, and Accounting and to define requirements and execute our card loan attribution and lifecycle strategy. Ensure system health and performance by analyzing and troubleshooting complex technical

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Card Loan Platform team builds the high-throughput decision engine at the heart of Affirm’s card products. Unlike traditional cards, every pay-later transaction is backed by its own unique loan, and our system is the "invisible piping" that makes this complex model work at scale. Every swipe triggers our platform to solve a hard problem in milliseconds: matching messy, fragmented payment network data to the correct loan to drive real-time approvals, origination, and refunds. As Affirm experiences explosive growth, our team's contributions are a key enabler. This isn't just another backend role; you'll be building the "financial brain" for our flagship card products, with your work on the critical path for every single swipe. We're tackling a unique, high-stakes distributed systems challenge that demands exceptional correctness and massive scale. You will partner closely with product, data science, and engineering teams to design and build the future of our industry-leading money movement platform. If you are passionate about making foundational design decisions and building a beloved, lasting financial brand—come join us. It’s going to be an amazing ride! What you'll do Drive technical strategy by leading the planning, prioritization, and execution of projects, ensuring alignment with product, technical, and business goals. Lead the end-to-end system design and development of large-scale, high-availability services. This includes building robust APIs and data models for our micro-service and event-driven architectures. Collaborate across functions with partners in Product, Analytics, Design, Legal, and Accounting and to define requirements and execute our card loan attribution and lifecycle strategy. Ensure system health and performance by analyzing and troubleshooting complex technical

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Team A rider taps "request ride" and within seconds, an autonomous vehicle is matched, dispatched, and on its way. The On-Road Experience team owns the systems that make that moment happen. The On-road Experience team builds the real-time distributed system behind Nuro's ride-hailing product. This is foundational infrastructure where correctness and performance have consequences on a real road. About the Role This is the perfect role if you love architecting performant, reliable distributed systems, processing real-time vehicle data, and building the foundational APIs that enable seamless product experiences. The position demands technical excellence, a deep understanding of system design, and a knack for solving tough problems. Come join us in defining the future! What you'll own Backend services for ride planning, vehicle matching, and real-time trip execution Partner API integrations (Uber and others) routing ride reque

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role We are looking for experienced back-end engineers to join the Verkada Core Command team. We are scaling out the Auth, Users, Roles and Audit capabilities of Verkada's core products to service the largest organizations in the world. What You'll Do Design scalable control planes and data primitives for all Verkada products Build scalable distributed systems capable of handling high traffic from hundreds of thousands of devices deployed around the world. Spin up new services in a microservices architecture What You Bring Degree in Computer Science, Computer Engineering or Software Engineering 4+ years of relevant industry experience Experience in building and scaling access systems to millions of users around the world Strong written and verbal communication skills Mastery of at least one of Python or Go Experience with relationa

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. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow. Our product offering runs on multiple cloud providers including Amazon Web Services, Microsoft Azure and Google Cloud. Our infrastructure self-optimizes, provides high availability and data protection across cloud providers so our users can focus on using their data, not managing it. Our team is called the Cloud Provisioning team, the core underpinning of what makes Snowflake work across multiple cloud providers. We are creating an abstraction layer between each of our cloud providers and the rest of Snowflake that is optimized for Snowflake's unique needs. We balance usability, cognitive load, performance, and cost for the rest of Snowflake. We are actively hiring talented distributed systems developers. This role is a unique opportunity to make a signifi

Senior Data Engineer, Proprietary Research London A Career with Point72's Market Intelligence team On our proprietary research team—Market Intelligence— you will uncover insights about markets and the broader economy through deep compliant fundamental research and applying data science and engineering techniques to alternative data sets. In partnership with our investment professionals and Compliance team, our team of analysts, data scientists and engineers work together to produce compliant research and build tools that inform our firm’s investments. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within. WHAT YOU'LL DO Work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end business solutions including data pipelines, products and tools. Design and develop big data processing pipelines including but not limited to ingestion, transformation, trends creation to deliver AI-ready data assets & products. Develop reusable software components, libraries, and APIs that enable rapid experimentation and production deployment Implement data quality, lineage, and governance controls to ensure datasets are reliable, auditable, and compliant with compliance policies Build scalable AI-native cloud-based infrastructure using distributed systems techniques, to deliver efficient data-driven business solutions Optimize performance, cost, and reliability of software systems through benchmarking and iterative improvements WHAT’S REQUIRED 5+ years of experience in Data Engineering, Software Engineering or related field 2+ years of strong experience in Python development Experience with system design and leading multi-person development efforts Experience with distributed data processing frameworks like Spark Experience with building scalable APIs, and software applications w/ focus on backend infra

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 Drive the technical resolution and stability of Everpure's highest-stakes cloud storage deployments for top-tier hyperscale partners. As a Senior Software Engineer on the Hyperscale Product Escalations team (known internally as a Forensics Engineer), you will serve as the technical bridge between field telemetry and core engineering, diagnosing high-complexity distributed systems failures and creating automation that anticipates issues before they impact customer workloads. You will directly influence customer trust, enable multi-million dollar account success, and help architect the future of hyperscale storage solutions built for AI-driven infrastructure. WHAT YOU'LL DO Lead Root-Cause Investigations: Analyze complex system behavior, memory dumps, field telemetry, and low-level code across platform, firmware, and software layers to isolate and resolve critical failures in large-scale distributed systems. Build System Health Automation: Design and deploy automated diagnostics, predictive health-monitoring services, and AI-assisted workflow tools that reduce manual triage time and prevent recurring failure patterns across growing global fleets. Direct Hyperscaler Engineering Collaboration: Partner directly with technical teams at hyperscale customer organizations to solve deep integration challenges, ensuring platform reliability and unlocking major expansion opportunities. Engineer Fleet-Wide Reliability Improvem

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, andreporting. 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-t

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Machine Learning Platform Engineer on the ML Platform team within the Platform group, you'll build the foundational infrastructure that powers feature engineering, model training, and model serving across Coinbase. The platform you build supports fraud detection, user personalization, and blockchain analysis. You'll own critical systems spanning stream processing, distributed training, and highly available inference services, directly shaping how ML scales across the company. What You'll Do: Own the design and reliability of ML inference infrastructure serving both predictive models and LLMs, maintaining high availability and low latency at scale. Build and optimize low-latency streaming pipelines that deliver fresh, high-quality feature data to production ML models. Drive improvements to distributed training infrastructure, enabling ML engineers to process large data volumes efficiently. Develop observability tooling to monitor data quality entering models and detect degradations impacting model performance. Mentor junior engineers on building production-grade software, raising the team's engineering standards over time. Required Skills and Experience: 5+ years of industry experience as a software engineer, with demonstrated ownership of distributed systems in production environments. Built and operated low-latency data or ML infrastructure (stream

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Datastores Engineer, Platform Infrastructure The Auth0 platform secures more than 100 million logins each day for customers all around the world - and we're growing fast! The Platform Infrastructure team enables Auth0 engineers to move faster by giving them tools to easily deploy and manage their services on AWS and Azure. This is a role with a huge impact. You will get to work with engineers throughout the organization and what you build will be a foundational piece of the infrastructure that allows Auth0 to scale for years to come. We are looking for Engineer who are passionate about distributed systems, availability, and delivering customer value to join our Platform Infrastructure Datastores team. Because we build and support the overall Auth0 platform, the ideal candidate is someone who is passionate about infrastructure, operations, databases and not intimidated by cross-organization coordination and collaboration. You will: Develop our large, distributed and highly-available infrastructure. Implement platform tools that allow feature teams to deploy and manage the datastores for their services. Research new technologies to accelerate new environment creation. Carry cross team initiatives from end to end: code reviews, design reviews, operational robustness, security hygiene, etc. Participate in the team's on-call rotation. You might be a good fit if you: Have 5-8 years of software development experience. Are proficient in or have a desire

About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role Appier’s solutions are powered by proprietary deep learning and machine learning technologies to empower every business to use AI to turn data into business insights and decisions. As a Software Engineer, Data Backend, you will be involved in helping to build critical components of this platform. Responsibilities Design, develop, and maintain RESTful APIs using Python. Build and manage robust data warehouses utilizing ClickHouse, Trino/Presto and Pinot. Design and develop data pipelines using Apache Airflow and Apache Spark. Work closely with cross-functional teams to develop automation tools that streamline daily operations. Implement state-of-the-art monitoring and alerting systems to ensure optimal system performance and stability. Address queries from applications in a timely and effective manner, ensuring high client satisfaction. Work on cloud platforms such as AWS and GCP, leveraging their capabilities to optimize data operations. Utilize Kubernetes (k8s) for container orchestration to facilitate efficient deployment and scaling of applications. About you [Minimum qualifications] BS/MS degree in Computer Science 2+ years of experience in building and operating large-scale distributed systems or applications Experience in Kubernetes development, Linux/Unix Experience in managing data lake or data warehouse Expertise in developing data structures, algorithms on top of Big Data platforms Ability to operate effectively and independently in a dynamic, fluid environment Ability to wor

Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments. Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years. We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others. We're a team of 170+ across 26 states and 7 countries, headquartered in New York City. We are hiring a Senior Software Engineer for Lithic’s Card Authorization team, which owns the real-time systems that make every card authorization decision correct, reliable, and fast. The team also owns related fraud tooling, including Lithic’s Rules Engine and 3D Secure integration. You’ll own high-impact projects end-to-end, solve distributed-systems problems at scale, and help build the tools customers use to control fraud and payment risk. What you'll do: Write reliable, secure, scalable code for Lithic’s real-time authorization and fraud-prevention systems with minimal tech debt Build customer-facing features, such as rules improvements, velocity controls, 3DS flows, fraud tooling, and transaction monitoring. Own projects from planning to launch. Improve the reliability of systems in team’s scope and participate in the team on-call rotation Lead efforts to improve systems and processes within the team What you'll bring: 4+ years building production backend systems. Full stack experience is a plus. Experie

Senior Software Engineer - (Agent Training and Evals) Engineering Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role As a Senior Software Engineer, you'll be one of the first engineers on our Agent Training & Evals team. You'll build infrastructure to evaluate AI agents at scale against real human expertise, in safe and secure environments. The better we get at this, the more useful, reliable and safe agents become. This is a genuine 0→1 role. There isn't a well-established playbook or existing architecture for you to simply maintain. You’ll shape the team’s technical direction and the products we build. You'll work closely with engineering, product and AI research to turn ambiguous problems into scalable systems, and you'll see the impact of what you build directly. What you’ll be doing in the role Build a platform to support evaluating and fine-tuning agents Take prototypes to production; turn experiments and research ideas into reliable, well-tested software Own what we ship as it scales in production Solve hard problems around data, compute, orchestration, scaling, security and reliability Work with emerging agentic AI technologies and rapidly evolving models Make effective product and technical decisions in a highly experimental environment Partner closely with customers, product engineering and AI research to turn problems and opportunities into working products Drive direct impact in a fast-moving, high-ownership, cross-functional team What you’ll bring to the role A background in Software Engineering, Data Engineering or MLOps Strong experience building scalable infrastructure or distributed systems in the clo