This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

The primary objective of the Identity & Verification group is to protect Adyen and its customers by fostering a safe and compliant platform, enabling sustainable and secure commercial growth.

The Identity & Verification group owns the foundational platforms and core services required to establish and maintain a trusted identity for all customers throughout their lifecycle with Adyen. Our mission is to provide a robust and scalable identity foundation, from onboarding and throughout the entire customer journey. This is achieved by building and evolving core platforms that identify the person or business behind every interaction, while proactively detecting and preventing identity fraud.

The Team: Identity Verification & Decisioning (ID&VD)

The ID&VD team is a newly established, high-impact initiative, with a mandate to define and build the next generation of identity decisioning at Adyen.

The team owns the decisioning layer that combines identity signals, risk models, and regulatory requirements into decisioning across the customer lifecycle. It focuses on designing scalable KYC/KYB frameworks, improving fraud detection, and reducing onboarding friction through smarter, data-driven decisioning.

Engineers in this team play a key role in shaping both the technical direction and the problem space, working on systems that directly impact fraud prevention effectiveness, customer experience, and operational efficiency.

Key Characteristics of the Domain

• We design and operate mission-critical infrastructure to identify and manage identity, risk, and compliance workflows at scale.
• We leverage a holistic, data-driven understanding of merchants and their activities to power a sophisticated, risk-based decisioning approach.
• We continuously push the boundaries of AI, machine learning, and advanced analytics to detect anomalies and predict emerging risks.
• We collaborate closely with Regulatory, Compliance, Operations, and Product teams to balance strict compliance, seamless customer experience, and efficient resource investment.

What You Will Do

As a Senior Software Engineer on the Identity Verification & Decisioning team, you will take end-to-end ownership of complex systems and strategic initiatives, playing a key role in shaping a core part of Adyen's integrity platform.

Your responsibilities will include:

• Lead the design and development of highly scalable, resilient distributed systems that are central to Adyen’s platform.
• Drive architectural decisions and contribute to long-term technical strategy, ensuring systems are extensible, maintainable, and aligned with business goals.
• Develop and evolve the technology, processes, and potential machine learning models for Payments and Know Your Customer (KYC) data collection, and automated verification across the entire customer lifecycle.
• Own and evolve platform frameworks that manage onboarding of legal entities and integration of identity and verification capabilities.
• Influence and improve the full software development lifecycle, from architecture and design reviews to testing, deployment, and operational excellence.
• Take true end-to-end ownership, including production performance, reliability, and continuous improvement of your systems.
• Define and uphold high standards for system health, including designing SLOs, improving observability, and implementing robust monitoring and alerting strategies.
• Proactively identify scalability, reliability, and performance bottlenecks, and drive initiatives to address them.
• Collaborate cross-functionally with Product Managers, Customer Onboarding, Merchant Operations, and Regulatory teams, acting as a technical partner in shaping solutions.
• Mentor and guide other engineers, fostering engineering excellence and contributing to a strong technical culture within the team.
• Drive the development of observability and operational tooling to enhance system reliability, efficiency, and transparency.

Who You Are

We are looking for a senior engineer with strong ownership and technical leadership, passionate about building robust, large-scale systems in a critical financial domain.

• You have deep expertise in Java, with extensive experience building and evolving web services and REST APIs in production environments.
• You have proven experience designing, building, and operating highly scalable and reliable distributed systems.
• You are highly proficient with SQL/PostgreSQL, and understand data modeling and performance optimization in complex systems.
• You champion operational excellence, with strong experience in monitoring, observability, SLOs, and resilience patterns.
• You demonstrate ownership beyond implementation, taking responsibility for system outcomes in production.
• You are a proactive problem-solver, capable of navigating ambiguity and driving solutions independently.
• You have a strong track record of leading technical discussions, influencing decisions, and aligning stakeholders.
• You have a deep interest in advanced software design patterns, with a focus on scalability, resilience, and maintainability.
• You have experience with event-driven architectures and streaming systems.
• Experience with Cassandra, Kafka, and Big Data platforms is a plus.
  
  
  

  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 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.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Trading Infrastructure is a global organization of Engineers who architect, build and maintain our world-class infrastructure. From colo design/implementation, to optimizing our exchange connectivity, to building world class low latent Wide Area Networks, we leverage research and automation to consistently adapt and innovate our infrastructure to scale and drive our trading and evolving business.

We are looking for exceptional talent that can work closely and collaborate effectively across multiple teams spread around the globe and continue to take our infrastructure to the next level.

What You'll Do:

• Work in a hybrid Systems Engineer / Software Developer capacity on Jump’s internal systems that manage the global infrastructure and colocation footprint
• Architect, build and maintain streaming monitoring tooling, high performance / real-time packet and flow analysis systems, configuration management and automation frameworks
• Take an ops-first approach, focusing on improving quality of the platforms for the wider team and always strive to identify improvements and opportunities for further make us more efficient
• Identify opportunities to make services more efficient and resilient by designing alerting and observability around team and business requirements
• Do deep-dive debugging sessions on low-level performance issues in complex software stacks
• Other duties as assigned or needed

Skills You’ll Need:

• 5+ years experience with Python, Go
• Strong experience with Linux
• Knowledge of streaming systems architecture and design
• Message/streaming queues (Apache Kafka, RabbitMQ, etc.)
• Working knowledge of Rust, C/C++
• Experience with big data / columnar style data stores (Bigtable, Clickhouse, Cassandra) and time series databases
• Experience working with version control and CI/CD systems.
• App deployment management and lifecycle (CI/CD, Kubernetes, pods/containers)
• Proven knowledge of working on infrastructure challenges in a reliability capacity
• Previous experience demonstrating strategic thinking skills and maturity in tackling complex problems, dealing with people, technology and processes
• Reliable and predictable availability

Bonus skills:

• Experience with Rust
• Prior exposure to Arista or Cisco hardware
• Routing protocol knowledge
• Prior network design knowledge

Benefits include:

• Private Medical, Vision and Dental Insurance
• Travel Medical Insurance
• Group Pension Scheme
• Group Life Assurance and Income Protection Schemes
• Paid Parental Leave
• Parking and Commuter Benefits