THIS IS ADYEN
Adyen is the financial technology platform of choice for leading businesses, providing payments, data, and financial products in a
single solutio...
THIS IS ADYEN
Adyen is the financial technology platform of choice for leading businesses, providing payments, data, and financial products in a
single solution for global customers like Meta, Uber, and H&M. At Adyen, everything we do is engineered for ambition. We create an
environment with opportunities for our people to succeed, backed by a culture that encourages ownership and provides the support
to truly own your career. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team,
delivering innovative and ethical solutions that help businesses achieve their ambitions faster.
ABOUT THE ROLE
We are seeking a highly skilled and enthusiastic Staff Software Engineer with a strong background in building reliable, scalable,
and low latency systems and hands-on experience in Machine Learning (ML) applications. In this role, you will play a critical part
in designing, building, and scaling systems that leverage ML to solve real-world business challenges.
You are someone who is curious about new technologies, eager to learn, and passionate about using technology as a practical tool
to drive meaningful business impact. You enjoy solving complex problems and thrive in environments where innovation, continuous
learning, and collaboration are key.
THE OPPORTUNITY
Adyen is building out its capabilities in data-driven risk management to combat financial crime and fraud across its platform. We
operate at a massive global scale, enabling businesses around the world to accept payments, issue cards, and embed financial
products, helping millions of business owners around the globe do business with less friction. While we have foundational elements
in place, we have recently shifted our strategy to take a more holistic approach to proactively detect and mitigate financial
crime and fraud.
KEY RESPONSIBILITIES
Design and develop robust, scalable software systems that integrate Machine Learning models into production environments.
Collaborate closely with product managers, data scientists, and business stakeholders to understand business problems and
translate them into technical solutions.
Evaluate new technologies, frameworks, and tools, and drive their adoption where appropriate to solve real business challenges.
Mentor and guide junior engineers and peers through technical leadership and knowledge sharing.
Advocate for best practices in software engineering, and system architecture.
Continuously learn and stay up-to-date with advancements in software engineering, infrastructure, and AI technologies.
Lead technical design discussions and contribute to the strategic direction of the technology roadmap.
Close cross functional collaboration with different, non-technical functions like Account Management, Compliance, Operations
etc.
REQUIREMENTS
At least 10-12 years of extensive industry hands-on experience in Software Engineering and building data intensive
applications, including system design, architecture, and development.
Experience with building scalable, reliable, and low latency systems.
Strong programming skills in Java. (Python is a plus)
Experience in incident management.
Experience working with and using SQL and NoSQL databases like Postgres and Cassandra.
Knowledge of streaming & queuing frameworks.
Deep curiosity and drive to continually learn new technologies and techniques.
Familiarity with data engineering concepts, big data tools (like Spark), and distributed data architectures.
Passion for applying technology to solve real business problems in a pragmatic and impactful way.
A good product sense and the ability to understand how research can translate into valuable applications.
Excellent communication skills and a collaborative mindset.
WHY ADYEN?
This is an exceptional opportunity to join a solid, established company with a startup mindset, characterized by small teams,
direct communication, and work on important challenges. You’ll have direct access to massive global datasets (e.g., payments,
identity data) and the ability to see your work have an immediate impact at scale. We offer an environment of ownership and speed,
where a focused research team can make a significant difference. You will be at the forefront of bridging AI and fintech, shaping
how these two critical areas intersect. We are looking for individuals who are eager to stay connected to the edge of innovation
while ensuring we deliver practical value to our global platform.
ABOUT THE TEAM
We work in the financial Crime and Fraud department. As a financial institute, we provide products to store and move finances.
This comes at a risk. Fraudsters and criminals can misuse our platform to do financial crime like money laundering, and fraud like
taking funds that do not belong to them.
We need to be one step ahead of the fraudsters and we are also liable to report any detection of financial crime.
We leverage our huge amount of data to identify actors using our platform, mitigate crime and catch fraud cases without creating
friction for our genuine customers. In order to do this in a scalable and reliable manner, we have teams dedicated to figuring out
the customer behind any event that goes through Adyen, do risk assessment, and make good judgement in real time as well as after
the event has taken place.
Day to day we work with Java, Postgres, Cassandra, Kafka, RabbitMQ, Big Data Platform, Machine Learning to equip ourselves with
the right tools.
OUR DIVERSITY, EQUITY AND INCLUSION COMMITMENTS
Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping
us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to
join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at
Adyen. Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the
qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your
application!
WHAT’S NEXT?
Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application
within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role.
Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.
This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer
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
Before Stripe, every growing internet platform had a payments team. Today, every growing internet platform has an Identity team.
Identity verification has become core economic infrastructure for online businesses — enabling them to digitally verify their
users' identities for fraud prevention, regulatory compliance, and trust and safety purposes.
At Stripe, we're building something more ambitious than a verification product. Our vision is to build the world's most trusted
store of verified identities — a single, global, reusable, risk-scored representation of every individual who interacts with
Stripe and beyond. This Identity Store becomes a platform with compounding network effects: more verifications enrich the store; a
richer store produces better fraud signals; better signals mean lower friction for trusted users; lower friction drives more
adoption.
Our product today serves millions of verifications per month for customers like OpenAI, Shopify, and WhatNot, and powers identity
verification across multiple internal Stripe products including Fraud, Link, Connect, and Crypto. The problems ahead — adversarial
AI and deepfake defense, networked identity infrastructure, progressive verification platforms, and low friction KYC APIs — sit at
the frontier of what's possible in identity engineering.
This role is open to candidates based in our Seattle, New York, or San Francisco offices, or remote within the US. For Stripes who
live within 35 miles of an office, we offer a hybrid work environment with an expectation of in-office presence 50% of your
working days each month.
WHAT YOU'LL DO
As a Full Stack Staff Engineer on the Identity team, you will own the technical direction of one of Stripe's most strategically
important product areas. This is not a role defined by task execution — it's a role defined by technical judgment, architectural
influence, and the ability to turn an ambitious vision into a reliable, scalable system.
RESPONSIBILITIES
* Own technical strategy — Define the architecture for Identity's core systems (Identity Store, headless verification platform,
fraud detection infrastructure), make build vs. buy vs. partner decisions, and surface technical risks before they become
customer-facing failures
* Lead 0-1 platform development — Architect net-new systems including the Identity Store, Networked Identity platform, and
advanced fraud detection pipeline (behavioral biometrics, deepfake discriminators, adversarial training). Drive the evolution
from a hosted-UI product to a headless-API and embedded-components platform
* Drive cross-functional alignment — Be the primary technical voice in roadmap and resourcing discussions. Partner with ML,
product, legal, and engineering leads across Risk, Fraud, Link, Connect, and Crypto to ensure Identity's abstractions serve the
full breadth of Stripe's product surface
* Raise the technical bar — Set engineering standards across ML, backend, mobile, and front-end; lead design reviews; and mentor
senior engineers on the judgment needed to operate a high-stakes, externally-facing product
* Operate with ownership — Be accountable for reliability, scalability, and security of the systems you design — including the
observability and alerting that catch model drift and fraud pattern shifts before customers do
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
* 10+ years of software engineering experience, including 5+ years of experience in a strategic technical leadership role
* Experience leading engineering team(s) working on API design, abstractions, frameworks, or client libraries (e.g. building
internal or external developer products)
* Proven track record of delivering pragmatic solutions that accelerate business growth
* Ability to adjust conversations from high-level discussions to detailed coding
* Clear and persuasive writing and in-person communication
PREFERRED QUALIFICATIONS
* Experience with identity verification, fraud detection, or trust and safety systems — especially systems with adversarial
inputs at scale
* Familiarity with ML systems in production: model serving, training pipelines, observability, drift detection, and the feedback
loops that keep models accurate under adversarial conditions
* Experience building platform products with multiple consumer types — internal platform teams and external developers — where
API backward compatibility and abstraction quality are first-class concerns
* Prior experience with 0-1 product builds: you've started with a blank page and ended with a production system, and you have
clear opinions about what makes that process go well or poorly
* Experience across a range of software languages and frameworks; our stack includes primarily Ruby and TypeScript on the
backend, Python for ML and data pipelines, with infrastructure spanning Kafka, Temporal, Protobuf, React, SQL (Spark and Trino
dialects), Airflow, Bazel, Mongo, Splunk, and Prometheus
* Experience navigating ambiguity in a fast-moving organization — you can make confident technical decisions with incomplete
information and update gracefully when new constraints emerge
Toronto•Publicerad: 14 juli•Sista ansökan: 15 aug.
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 User Auth Experience (UAX) team makes authentication and account security at Stripe world-class—secure by default,
frictionless for legitimate users, and resilient against evolving threats. We own the end-to-end login, registration, and session
management experience for the Stripe Dashboard, and we're expanding that security foundation to every surface where users and
agents interact with Stripe.
We improve security, access, and usability simultaneously—without compromising any of the three. Our scope spans account takeover
prevention, API key security, auth for AI agents, and a two-party approvals framework governing both human and automated actions.
The team sits within OAP (Organizations and Auth Platform) in the DEeP (Developer Experience and Product Platform Engineering)
organization at Stripe.
WHAT YOU’LL DO
As a Staff Engineer on UAX, you'll set technical direction across multiple areas of the team's charter, drive architecture
decisions that affect millions of users, and lead initiatives that span multiple organizations. You'll operate at the intersection
of security and product—designing systems where the safe path is the default path, and navigating the tension between stronger
security and lower user friction.
You'll own the technical vision for one or more of our platform bets—extending our risk-scoring framework from login to API-layer
anomaly detection, evolving our step-up challenge platform to serve multiple Stripe surfaces, or defining Stripe auth primitives
for the agentic era (agent principals, approval rules, MCP human-in-the-loop). These are multi-year arcs that require someone who
can hold the long-term architecture while shipping incrementally.
You'll also directly build risk-dynamic enforcement pipelines, full-stack approval flows, API key protection UX, and the analytics
infrastructure that measures our impact. This is a hands-on role with architectural leverage—you'll write code, review designs,
and shape how partner teams integrate with our security primitives
RESPONSIBILITIES
* Own the technical architecture for a major area of the team's charter
* Design and ship systems that serve multiple Stripe surfaces—building generalized primitives, not point solutions
* Drive cross-org technical alignment on shared security infrastructure
* Make effective tradeoffs that consider security posture, user friction, and sustainable technical foundations
* Mentor and grow engineers on the team
* Raise the bar for design rigor, operational excellence, and code quality
* Shape the team's multi-year roadmap through technical foresight and principled prioritization
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
* 12+ years of experience in full-time software development roles
* Experience as a technical lead by guiding your team, influencing its roadmap, and overseeing complex projects spanning multiple
teams
* Experience in both frontend and backend, with strong ability to work as a generalist across the stack
* Thrive in a collaborative environment with other teams to identify high-impact ways of solving problems
* Excellent oral and written communication
PREFERRED QUALIFICATIONS
* You strive for simple solutions and designs over complex ones, and have a good intuition for what will last and scale well
* Deep expertise in authentication and authorization systems—SSO, MFA, passkeys and WebAuthn, OAuth, session management, or API
key security
* Experience building risk-based or adaptive security systems (anomaly detection, step-up auth, fraud prevention)
* Strong understanding of IAM concepts, including RBAC, identity governance, SCIM, delegated auth, or approval workflows
* Experience defining auth or security primitives for programmatic consumers (APIs, agents, and SDKs)—not just human-facing UI
* Experience building scalable, resilient, and observable systems while understanding UX best practices for the frontend
* You put yourself in the shoes of your users to understand their needs and fit that into the bigger picture
* You stitch together many different services and processes, even if you haven't worked with them before
* Experience building software for fellow developers
