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 ...
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
Stripe processes over $1.9T in payments volume per year, which is roughly 1.6% of the world's GDP, for millions of customers from
startups to enterprises. The tremendous amount of data makes Stripe one of the best places to do machine learning. While being an
integral part of almost every product line at Stripe (e.g., Payments, Radar, Capital, Billing, etc.), we have lots of exciting
opportunities to innovate in ML Platform at Stripe.
The ML Platform team builds the platforms and services that enable ML engineers and data scientists across Stripe to take data and
build features and models from prototype to production—reliably, at low latency, and at scale. Our scope spans ML training
infrastructure, model serving and deployment, feature computation and online serving, observability and monitoring, and agentic AI
capabilities. We work closely with product teams, data scientists, and platform infrastructure teams to build powerful, flexible,
and user-friendly systems that substantially increase ML velocity across the company.
WHAT YOU'LL DO
You'll serve as a technical lead across the ML Platform space and a key contributor to the evolution of the platforms that power
Stripe's ML-driven products. As a Staff Engineer, you'll make decisions with a large impact on Stripe. You'll influence our
investments and strategy while making our systems more reliable, secure, and a delight to use. You'll work cross-functionally with
other technical staff, data science, product, and senior leadership to increase the impact of ML at Stripe.
You'll help define the long-term strategy and lead the technical direction for the next generation of ML infrastructure that
powers Stripe's ML-driven products.
RESPONSIBILITIES
Take ownership of end-to-end architecture and system design for large, complex projects across ML Platform.
Define technical direction for highly ambiguous projects, transforming complex user needs into long-lasting platform strategy.
Design system architectures for the most challenging ML Platform problems in one or more areas, including AI and ML workflow
orchestration, scalable CPU and GPU compute infrastructure, model training, LLM fine-tuning, low-latency model inference,
large-scale feature stores, real-time monitoring, and LLM and agent orchestration.
Turn high-leverage ideas into tangible, robust solutions that shape platform and product roadmap, combining technical
excellence with creative problem-solving.
Scope and lead large projects with significant business impact, driving them from requirements through design, implementation,
and production operation.
Work with ML engineers, data scientists, and product teams directly to translate their needs into functional requirements and
scalable technical solutions.
Arbitrate critical decisions that balance competing priorities while meeting latency, reliability, cost, and security
constraints.
Serve as a key engineering representative, engaging senior leaders across Stripe and advising the leadership team on key
technical considerations related to the end-to-end ML lifecycle.
Drive cross-team technical initiatives that improve ML development velocity and MLOps maturity across the company.
Mentor and grow other engineers. Serve as a role model for designing, implementing, and operating great software systems.
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 professional software development experience, or equivalent domain expertise, with a solid background in
service-oriented architecture and large-scale distributed systems.
Track record of serving as a technical lead, with the ability to provide technical direction, lead multi-team initiatives, and
mentor team members.
Experience building and operating production ML platform in one or more areas such as model training, model serving,
orchestration, or ML data systems, with requirements for performance, reliability, scalability, and cost efficiency.
Strong product instincts and a deep understanding of the business context in which you operate.
Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical
stakeholders.
Demonstrated ability to work cross-functionally, collaborating effectively with ML engineers, data scientists, software
engineers, product managers, and business stakeholders.
The ability to thrive on a high level of autonomy and responsibility, and comfort operating in ambiguous environments.
Hands-on experience using AI tools to accelerate how you work.
PREFERRED QUALIFICATIONS
Experience building large-scale ML training, serving, or data infrastructure for machine learning use cases, such as
distributed training, model inference, feature stores, real-time feature computation, and model registries.
Experience with distributed ML training systems, accelerator-backed compute, training data pipelines, experiment tracking, and
model evaluation.
Experience rapidly developing prototypes and iterating based on user feedback.
Experience training and shipping machine learning models to production to solve critical business problems.
Familiarity with LLMs, LLM application frameworks, and agentic AI patterns (e.g., tool use, multi-agent orchestration,
retrieval-augmented generation).
Familiarity with cloud services (e.g., AWS) and cloud-based AI and ML services (e.g., SageMaker, Bedrock, Databricks, OpenAI).
Ability to synthesize ideas across the organization while setting a compelling technical vision.
Comfortable working with geographically distributed teams.
Passion for side projects, open source, or self-driven technical initiatives.
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
Stripe processes over $1.9T in payments volume per year, which is roughly 1.6% of the world's GDP, for millions of customers from
startups to enterprises. The tremendous amount of data makes Stripe one of the best places to do machine learning. While being an
integral part of almost every product line at Stripe (e.g., Payments, Radar, Capital, Billing, etc.), we have lots of exciting
opportunities to innovate in ML Platform at Stripe.
The ML Platform team builds the platforms and services that enable ML engineers and data scientists across Stripe to take data and
build features and models from prototype to production—reliably, at low latency, and at scale. Our scope spans ML training
infrastructure, model serving and deployment, feature computation and online serving, observability and monitoring, and agentic AI
capabilities. We work closely with product teams, data scientists, and platform infrastructure teams to build powerful, flexible,
and user-friendly systems that substantially increase ML velocity across the company.
WHAT YOU'LL DO
You'll serve as a technical lead across the ML Platform space and a key contributor to the evolution of the platforms that power
Stripe's ML-driven products. As a Staff Engineer, you'll make decisions with a large impact on Stripe. You'll influence our
investments and strategy while making our systems more reliable, secure, and a delight to use. You'll work cross-functionally with
other technical staff, data science, product, and senior leadership to increase the impact of ML at Stripe.
You'll help define the long-term strategy and lead the technical direction for the next generation of ML infrastructure that
powers Stripe's ML-driven products.
RESPONSIBILITIES
* Take ownership of end-to-end architecture and system design for large, complex projects across ML Platform.
* Define technical direction for highly ambiguous projects, transforming complex user needs into long-lasting platform strategy.
* Design system architectures for the most challenging ML Platform problems in one or more areas, including AI and ML workflow
orchestration, scalable CPU and GPU compute infrastructure, model training, LLM fine-tuning, low-latency model inference,
large-scale feature stores, real-time monitoring, and LLM and agent orchestration.
* Turn high-leverage ideas into tangible, robust solutions that shape platform and product roadmap, combining technical
excellence with creative problem-solving.
* Scope and lead large projects with significant business impact, driving them from requirements through design, implementation,
and production operation.
* Work with ML engineers, data scientists, and product teams directly to translate their needs into functional requirements and
scalable technical solutions.
* Arbitrate critical decisions that balance competing priorities while meeting latency, reliability, cost, and security
constraints.
* Serve as a key engineering representative, engaging senior leaders across Stripe and advising the leadership team on key
technical considerations related to the end-to-end ML lifecycle.
* Drive cross-team technical initiatives that improve ML development velocity and MLOps maturity across the company.
* Mentor and grow other engineers. Serve as a role model for designing, implementing, and operating great software systems.
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 professional software development experience, or equivalent domain expertise, with a solid background in
service-oriented architecture and large-scale distributed systems.
* Track record of serving as a technical lead, with the ability to provide technical direction, lead multi-team initiatives, and
mentor team members.
* Experience building and operating production ML platform in one or more areas such as model training, model serving,
orchestration, or ML data systems, with requirements for performance, reliability, scalability, and cost efficiency.
* Strong product instincts and a deep understanding of the business context in which you operate.
* Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical
stakeholders.
* Demonstrated ability to work cross-functionally, collaborating effectively with ML engineers, data scientists, software
engineers, product managers, and business stakeholders.
* The ability to thrive on a high level of autonomy and responsibility, and comfort operating in ambiguous environments.
* Hands-on experience using AI tools to accelerate how you work.
PREFERRED QUALIFICATIONS
* Experience building large-scale ML training, serving, or data infrastructure for machine learning use cases, such as
distributed training, model inference, feature stores, real-time feature computation, and model registries.
* Experience with distributed ML training systems, accelerator-backed compute, training data pipelines, experiment tracking, and
model evaluation.
* Experience rapidly developing prototypes and iterating based on user feedback.
* Experience training and shipping machine learning models to production to solve critical business problems.
* Familiarity with LLMs, LLM application frameworks, and agentic AI patterns (e.g., tool use, multi-agent orchestration,
retrieval-augmented generation).
* Familiarity with cloud services (e.g., AWS) and cloud-based AI and ML services (e.g., SageMaker, Bedrock, Databricks, OpenAI).
* Ability to synthesize ideas across the organization while setting a compelling technical vision.
* Comfortable working with geographically distributed teams.
* Passion for side projects, open source, or self-driven technical initiatives.
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
remote-only roles.
Join our global force of 500+ innovators, blending the latest in tech with the greatest in soundtracking, from our Stockholm HQ to offices in London, New York, Los Angeles, Berlin, Oslo, and Seoul. We’re an industry leader with a startup mentality. We take what we do seriously, but we don’t take ourselves too seriously. Creating and collaborating to transform the sound of streaming, content, and culture. Come join us— and let the world feel your work.
In the Soundtrack product area, we are on a mission to reimagine soundtracking and enable our users to effortlessly create soundscapes that fit perfectly to their content, all seamlessly integrated into their workflows. We are now looking for a Staff Backend Engineer to drive the innovation, scale, and technical direction of the systems that empower millions of creators to elevate their content.
About the Role
As a Staff Backend Engineer, you will be a strategic technical leader across multiple teams within the Soundtrack area. You’ll play a key role in bringing our mission to life through architectural oversight, hands-on coding, and close collaboration with senior leaders across tech, product, and design.
In Soundtrack we are constantly breaking new ground to build the best tools for soundtracking for creators. We serve our AI powered features across a broad range of clients, and our backend capability platform needs to support this advanced product ecosystem in a flexible yet structured way. We solve exciting and complex problems in the intersection of sound, video, software engineering and machine learning, utilizing both agentic workflows and generative AI.
You’ll work on a broad range of initiatives, from defining core architectural foundations to driving technical choices that affect our entire backend ecosystem. You’ll lead by example, mentor other engineers, drive platform decisions, and ensure our microservices architecture is robust, scalable, and built for the long term.
Responsibilities
Set technical direction: Define the backend strategy across the product area, ensuring a scalable and maintainable architecture that aligns with our ambitious product goals.
Architect complex systems: Act as a primary partner to engineering and product leads, translating complex business requirements into elegant, performant backend solutions that align with machine learning and frontend requirements.
Lead high-impact discovery: Drive early-stage technical discovery for important initiatives, making strategic trade-offs and mapping out execution paths for multiple teams.
Raise the engineering bar: Promote backend excellence by championing best practices in API design, system resilience, security, and observability across the organization.
Mentor & coach: Inspire and grow technical capabilities across the tech organization, fostering a culture of feedback, mob programming, and continuous learning.
Platform strategy: Align backend frameworks, tooling, and conventions across teams to enable fast, safe, and consistent development.
What we’re looking for
Deep backend skills: You have extensive experience with modern backend technologies, preferably Go (or languages like Kotlin/Python) and a deep understanding of distributed systems and microservices.
Architectural vision: A proven track record of leading complex technical projects from initial strategy through to execution at scale.
Infrastructure fluency: Deep experience building scalable and reliable software systems.
Holistic leadership: You balance hands-on coding with big-picture systems thinking, capable of moving between deep-dives into code and high-level architectural planning.
Collaborative mindset: Excellent communication skills with the ability to align diverse stakeholders and thrive in a cross-functional, agile environment.
Product mindset: A passion for building high-quality, user-centered software and an understanding of how technical choices impact the end-user experience.
It would also be music to our ears if you have experience:
building tools for creators or working within a media-heavy environment.
working closely with Data Scientists and Machine Learning engineers.
with cloud Infrastructure (GCP & K8s).
with search systems and Elasticsearch.
Equal opportunity employer
We believe that bringing people together from different backgrounds, experiences and perspectives makes for a healthy workplace, a more successful business and a better world. We value diversity and encourage everyone to come and soundtrack the world with us.
Application
Ready to make the world feel your work? Apply now by clicking the link below! We embrace a hybrid model but love collaborating in person, so we spend the majority of our time in the office.
