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Stripe
Actively Hiring134 open positions matching criteria
Machine Learning Engineer, Link
8570 Consumer Network - Eng
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Link is a digital wallet designed for fast and secure online payments. It allows consumers to save and use their preferred payment methods across the Link network, helping them check out quickly and securely wherever Link is accepted. The Link Fraud and Auth team works to make Link the most trusted and highest-performing way to pay. We protect consumers and merchants from fraud, abuse, and financial loss while maximizing authorization rates for good users. Our work spans consumer-facing experiences, payment infrastructure, and ML powered risk systems. We manage fraud and financial risk across a growing range of novel Link features, including Link’s agentic wallet, stored balance, and LPMs. The team also owns Instant Bank Payments, a proprietary payment method built on ACH rails, offering merchants immediate confirmation while protecting them from bank-initiated returns. IBP is the heart of Link’s revenue engine, giving LFA engineers the opportunity to shape and scale one of Link’s most important products. What you’ll do As a machine learning engineer on Link Fraud and Auth, you’ll build and operate models and risk decisioning systems that protect Link while helping more legitimate payments succeed. You’ll work across the full machine learning lifecycle, from analyzing fraud patterns and identifying opportunities to building, deploying, monitoring, and improving models in production. You’ll use data to form hypotheses, make practical modeling choices, and define technical direction in partnership with Engineering, Product, and Data Science. Your work will directly influence Link’s fraud performance, authorization rates, and ability to expand into new products and payment experiences. Responsibilities Build, train, evaluate, deploy, and own machine learning models that detect fraud and abuse across Link. Use large-scale datasets to investigate emerging threats, develop hypotheses, and identify opportunities to improve payment performance. Develop pragmatic machine learning solutions, including tree-based models and other approaches suited to real-time risk decisioning. Design data pipelines, features, evaluation methods, experiments, and monitoring systems that support reliable production models. Build and improve risk decisioning systems that integrate with other parts of Stripe’s payments stack. Own ambiguous problems from initial analysis and problem definition through technical design, implementation, launch, measurement, and iteration. Collaborate with Engineering, Product, Data Science, and Risk partners across Stripe to turn model improvements into durable product outcomes. Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 6+ years of industry experience building and shipping machine learning models in production. Strong programming skills in Python and experience with common data and machine learning tools, such as SQL, Spark, and XGBoost. Strong knowledge of production machine learning systems, including data pipelines, feature development, model evaluation, deployment, monitoring, and iteration. Experience working with large and complex datasets and applying data analysis, statistics, and experimentation fundamentals. Demonstrated ability to take an open-ended business problem, determine where machine learning can help, and own the solution through production. Strong judgment in selecting practical modeling approaches and evaluating tradeoffs among model performance, system complexity, latency, and business impact. Strong collaboration skills and the ability to work across teams and contribute to peers' success. Preferred qualifications Experience applying machine learning to fraud detection, risk modeling, payment authorization, identity, account security, or another adversarial domain. Experience building real-time, low-latency machine learning or risk decisioning systems at scale. Experience integrating models into production services and designing reliable systems around model outputs. Experience with payments, fintech, digital wallets, or money movement. Strong software engineering skills and experience designing solutions across the machine learning and product stack.
View more...Software Engineer, Payins Card Networks
Global Operations
Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Build, develop, test, and deploy software infrastructure; Modify existing software to correct errors or to improve its performance; Develop and direct software system testing and validation procedures, programming, and documentation; Build, test, and maintain software development for the company’s various codebases to integrate with external financial partners; Consult and advise other peers on build system choices; Analyze user needs and software requirements to determine the feasibility of design within time and cost constraints; Work with engineers across the company to build new features at large-scale; Implement unit, functional, and integration tests to prevent bugs and regressions; Set the mission and perform short and medium term planning and prioritization for an engineering team; Build, test, and maintain software for card payments integrations across the company’s codebases to communicate with external card networks and payment processors using industry-standard protocols; Consult with and advise peers on integration architecture and payment processing implementation choices; and Analyze user needs and payment processing requirements to determine the feasibility of design within time and cost constraints for card network integrations Who you are Minimum requirements Must have a Bachelor's Degree or foreign equivalent degree in Computer Science, or a related field, plus two (2) years of experience in Software Development. Must also have two (2) years of experience in each of the following: Writing and debugging computer code; Writing software to issue and serve HTTP requests; Java, Ruby, Scala, or Python; and API, REST, Soap, Agile, Jira, GIT, AngularJS, or NodeJS. Must also have one (1) year of experience in each of the following: Payment processing in payins acquiring financial systems related to authorization and clearing flows with major global card networks including Visa and Mastercard; Data modeling of card features in acquiring payments for financial processing systems; Working with ISO 8583 messages, and data warehouse queries; and Cloud. Salary: $156,800 - $235,200/yr. This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary. 40 hrs/week 50% Telecommuting permitted. Multiple Positions Available. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. WA71 #LI-DNI
View more...Software Engineer, Backend
Global Operations
Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Develop scalable computer systems that manage a large volume of information and use them to fulfill business goals for the company and its partners. Improve backend scalability and performance by integrating lightweight backend framework, overhauling APIs and optimizing database systems. Design and build tools that ingest and process signals from various sources to make them more accessible for the company’s partner teams. Design and implement logging and data visualization system for backend APIs. Diagnose and resolve software issues reported from production, automated testing, QA testing and customers. Design and implement scalable and reliable automated testing suites to reduce manual Quality Assurance tasks. Collaborate with cross-functional teams and streamlined software development and deployment processes with Continuous Integration (CI) and Continuous Delivery (CD) pipelines. Who you are Minimum requirements Must have a Master's degree or foreign equivalent in Computer Science, Software Engineering, or a related field, plus six (6) years of software development experience. Must also have four (4) years of experience in each of the following: Building software solutions in Java, C++, Python, or Ruby; Designing, building and maintaining scalable systems; Translating business needs into software requirements and designs; Debugging production issues across services and multiple levels of the stack; Distributed systems; and Design and implementation of scalable high-performance RESTful microservices. Salary: $206,086 - $285,600/yr This salary range represents the base salary range for the role and any sales commissions / sales bonuses targets, if applicable, would be in addition to the base salary. 40 hrs/week 50% Telecommuting permitted. Multiple Positions Available. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. WA58 #LI-DNI
View more...Software Engineer, High Availability and Disaster Recovery
Global Operations
Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Develop global architecture by combining less-available components and data centers into a highly available and resilient whole. Work on latency-critical, time-sensitive and data redundancy solutions. Solve broad range of problems, including investigating Mongo write concerns, minimizing cross-region TLS handshakes, and develop new systems to automate disaster detection and failovers. Enable the company to increase the GDP of the internet by providing uptime and data protection. Write code, scope, design, implement, and deploy solutions using multiple technologies, including: Ruby, Java, Mongo, Postgres, and other necessary tools as required. Investigate issues in live, distributed production systems. Collaborate across the company to provide an understanding of multi-region architectures, high durability implementation patterns, and best practices. Learn, meet, and uphold high engineering standards through design and code review. Who you are Minimum requirements Must have a Bachelor’s degree or foreign equivalent in Computer Science, or a related field, plus five (5) years of post-bachelor’s progressive software development work experience. In the alternative, the employer is willing to accept a Master’s Degree or foreign equivalent degree in Computer Science, or a related field, plus three (3) years of software development work experience. Must also have three (3) years of experience in each of the following: Go, Ruby, or Java programming languages; Database internals including data movement, leader election, and quorums; Cloud infrastructure services, including: S3, EBS, EC2, and VPCs, to deploy scalable applications; Designing and building Temporal workflows; Using Trino SQL for data analysis and visualization; and Designing fault-tolerant systems using data sharding and replication strategies. Salary: $206,086 - $285,600/yr. This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary. 40 hrs/week 50% Telecommuting permitted. Multiple Positions Available. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. WA70 #LI-DNI
View more...Software Engineer, Online Database Infrastructure
Global Operations
Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Contribute to team strategy, roadmap, tooling, process, and culture. Scope, design, implement, and deploy robust solutions, making appropriate tradeoffs between reliability, throughput, latency, resiliency, engineering velocity and cost. Innovate, design and implement software solutions that contribute towards improvement in infrastructure resiliency, reliability, efficiency and management at scale. Uphold our high engineering standards and improve our codebase and processes. Who you are Minimum requirements Must have a Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, or a related field, plus 5 years of progressive, post-baccalaureate experience in Software development. Must also have 5 years of experience in each of the following: Developing, maintaining and debugging distributed systems built with open source tools; Building infrastructure as a product centered around users’ needs; Scaling distributed systems; Breaking down large complex systems; Identifying shortcomings and optimization opportunities to make data driven cost performance tradeoffs to influence design decisions; Building and operating infrastructure and tools that empower developers; Working in a development team in AWS, Azure, OCI or GCP; and Programming languages: Ruby, Go, Python, or Java. Salary: $206,086.00 - $285,600.00/yr This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary. 40 hrs/week 50 % Telecommuting Permitted. Multiple Positions Available. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. WA56 #LI-DNI
View more...Senior Software Engineer, Product Velocity
Global Operations
Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Design and build internal products used daily by engineering, product, and cross-functional teams across Stripe. Own end-to-end systems—spanning frontend, backend, data, and integrations—that remove bottlenecks and meaningfully increase product development velocity. Collaborate with partner teams to understand workflows, define requirements, and build tools that improve iteration speed, quality, and clarity in the product lifecycle. Who you are Minimum requirements Must have a Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, Software Engineering, Information Systems or a related field, plus five (5) years of post-bachelors progressive work experience in software development, or a related occupation. Must also have five (5) years of experience with/in each of the following: Designing, developing, testing, and maintaining full-stack or backend web applications; Programming language including Java, Go, Python, Ruby, TypeScript, or JavaScript; Building and consuming REST or gRPC APIs; Working with databases including PostgreSQL, mySQL, or NoSQL systems; Cloud environments including AWS, or GCP; Frontend frameworks including React, Vue or building product UIs; Owning large components or projects and driving alignment with cross-functional partners; and Debugging. Salary: $206,086 - $285,600/yr This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary. 40 hrs/week 50% Telecommuting Permitted. Multiple Positions Available. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. WA49 #LI-DNI
View more...Frontend Engineer, Data Product Experiences
8122 Data Foundations
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Data Product Experiences (DPE) team is dedicated to making Stripe's merchant-facing data products intuitive, delightful, and actionable. We build client-side rendering engines, high-performance charting libraries, and interactive visualization interfaces that handle high-throughput streaming telemetry and real-time merchant analytics. What you’ll do In this role, you will architect and build high-performance client-side data rendering engines from scratch to visualize tens of thousands of data points smoothly. You will collaborate closely with Designers, Product Managers, and Front-End Systems Engineers to define cutting-edge data visualization paradigms that reduce cognitive load and prevent visual fatigue for Stripe's users. Responsibilities Partner with designers and product managers to prototype, build, and ship interactive analytics dashboards and data visualization tools across the Stripe Dashboard. Contribute to Stripe’s core design system by developing scalable, reusable visualization components and charting standards for engineering teams. Design frontend integration strategies and robust API contracts to enable seamless adoption of analytics components by partner teams. Provide technical leadership and mentorship through code reviews, pairing, and fostering frontend engineering best practices. Collaborate across Product, Design, Data Infrastructure, and Analytics teams to deliver high-quality, data-driven user experiences. Optimize rendering performance and state management for web applications handling large datasets, real-time telemetry, and high-density visual components. Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 2+ years of relevant web front-end development or creative technology experience in a tech-forward, product-driven company. Advanced experience with React, modern TypeScript/JavaScript, HTML5, CSS/Sass, and modern web application architecture. Demonstrated experience building interactive web charts and visualizations using tools and libraries such as D3.js, Recharts, SVG, Canvas, or WebGL, with a focus on data density and visual-perceptual hierarchy. Proven track record of writing clear, elegant, well-tested code in a collaborative team environment. Deep experience designing and developing web applications that function seamlessly across modern browsers, screen dimensions, and devices. Strong communication skills with the ability to work effectively alongside technical and non-technical stakeholders alike. Preferred qualifications Passion for crafting beautiful data experiences on the web, demonstrated through a design portfolio or frontend codebase showcasing interactive dashboards, custom charting engines, creative tools, or design systems. Exemplary understanding of formal design principles including typography, layout, color theory, data density balance, and visual proportion beyond basic web UI. Experience building sophisticated interactive tools encompassing complex client-side state management, caching, and real-time data fetching strategies. Advanced proficiency with React, with an emphasis on fluid interactions, subtle animations, visual refinement, and web rendering performance. Experience with accessibility (a11y) standards for interactive charts and graphs, A/B testing frameworks, synthetic monitoring, and performance profiling tools.
View more...Frontend Engineer, Data Product Experiences
8122 Data Foundations
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Data Product Experiences (DPE) team is dedicated to making Stripe's merchant-facing data products intuitive, delightful, and actionable. We build client-side rendering engines, high-performance charting libraries, and interactive visualization interfaces that handle high-throughput streaming telemetry and real-time merchant analytics. What you’ll do In this role, you will architect and build high-performance client-side data rendering engines from scratch to visualize tens of thousands of data points smoothly. You will collaborate closely with Designers, Product Managers, and Front-End Systems Engineers to define cutting-edge data visualization paradigms that reduce cognitive load and prevent visual fatigue for Stripe's users. Responsibilities Partner with designers and product managers to prototype, build, and ship interactive analytics dashboards and data visualization tools across the Stripe Dashboard. Contribute to Stripe’s core design system by developing scalable, reusable visualization components and charting standards for engineering teams. Design frontend integration strategies and robust API contracts to enable seamless adoption of analytics components by partner teams. Provide technical leadership and mentorship through code reviews, pairing, and fostering frontend engineering best practices. Collaborate across Product, Design, Data Infrastructure, and Analytics teams to deliver high-quality, data-driven user experiences. Optimize rendering performance and state management for web applications handling large datasets, real-time telemetry, and high-density visual components. Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 2+ years of relevant web front-end development or creative technology experience in a tech-forward, product-driven company. Advanced experience with React, modern TypeScript/JavaScript, HTML5, CSS/Sass, and modern web application architecture. Demonstrated experience building interactive web charts and visualizations using tools and libraries such as D3.js, Recharts, SVG, Canvas, or WebGL, with a focus on data density and visual-perceptual hierarchy. Proven track record of writing clear, elegant, well-tested code in a collaborative team environment. Deep experience designing and developing web applications that function seamlessly across modern browsers, screen dimensions, and devices. Strong communication skills with the ability to work effectively alongside technical and non-technical stakeholders alike. Preferred qualifications Passion for crafting beautiful data experiences on the web, demonstrated through a design portfolio or frontend codebase showcasing interactive dashboards, custom charting engines, creative tools, or design systems. Exemplary understanding of formal design principles including typography, layout, color theory, data density balance, and visual proportion beyond basic web UI. Experience building sophisticated interactive tools encompassing complex client-side state management, caching, and real-time data fetching strategies. Advanced proficiency with React, with an emphasis on fluid interactions, subtle animations, visual refinement, and web rendering performance. Experience with accessibility (a11y) standards for interactive charts and graphs, A/B testing frameworks, synthetic monitoring, and performance profiling tools.
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