---
title: 'Staff Software Engineer - Streaming at Checkout.com'
canonical: 'https://feeny.ai/job/staff-software-engineer-streaming-checkout-com-london-6s3cae363nwc'
type: 'job'
last_seen: '2026-09-21'
---

# Staff Software Engineer - Streaming at Checkout.com

- **Company:** [Checkout.com](https://feeny.ai/companies/checkout-com)
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-21
- **Last confirmed live:** 2026-09-21
- **Apply:** https://jobs.ashbyhq.com/checkout.com/5893908b-16f9-4edf-b9ee-be93f9ce1580/application

**Skills:** Kafka, Flink, AWS, Kinesis, Kubernetes, SQL, Docker, Terraform, CI/CD, Java, Python, Infrastructure as Code, Cloud-based technologies, MSK, S3, Lambda, ECS, SNS

> The Staff Data Engineer will own and scale the event streaming capability within the Data and AI Platform Team. This role involves building a continuously available large-scale event streaming platform using Kafka and Flink, providing leadership and mentoring, and implementing infrastructure for end users to build a...

## Job description

Company Description We’rehttp://checkout.com[Checkout.com](http://Checkout.com). You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.

We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.

Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.

If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.

With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.

Job Description

## About the role

[Checkout.com](http://Checkout.com) is looking for an ambitious Staff Data Engineer to join our Data and AI Platform Team. Our team’s mission is to build a platform where you can create reliable, scalable, AI-powered streaming and batch data applications, and share data across [Checkout.com](http://Checkout.com) to improve business performance.

The Data and AI Platform team is here to ensure internal stakeholders can easily collect, store, process and utilise data to build AI use cases and data products aiming to solve business problems. Our focus is on maximising the amount of time engineers spend on solving business problems and minimising time spent on technical details around implementation, deployment, and monitoring of their solutions. We're building for scale. As such, much of what we design and implement today is the technology/infrastructure which will serve hundreds of teams and petabyte-level volumes of data.

## Key Responsibilities

- Work with stream processing technologies (Kafka and Flink) to build a continuously available large-scale event streaming platform
- Leverage subject matter and technical expertise to provide leadership, mentoring, and strategic influence across the organisation whilst building strong relationships with engineers and engineering managers
- Build tooling (modules/SDKs/DSLs) and associated documentation to foster the adoption of the streaming platform by enabling upstream teams and systems to easily publish data and deploy streaming applications
- Implement all the necessary infrastructure to enable end users to build, host, monitor and deploy their own streaming applications
- Provide consultancy across the technology organisation to drive the adoption of the platform and unlock event-driven use-cases
- Participate, translate, run and execute the collection of requirements and architecture/design initiatives into action plans
- Provide hands-on support for all event-based systems including incident triage and root cause analysis

## About You

While experience with our specific tech stack is a plus, we welcome candidates with a strong background in data systems who are eager to learn. The core remit of this role is to own and scale our event streaming capability, not to serve as a general DevOps or infrastructure engineer.

- Strong presentation and communication skills with a proven track record of influencing engineering organisations
- Strong engineering background with a track record of implementing and owning event streaming platforms
- Hands-on experience working with stream technologies, ideally Kafka
- Experience designing and implementing stream processing applications with Flink
- Experience working with cloud-based technologies such as AWS (MSK, S3, Lambda, ECS, SNS)
- Experience with Kubernetes (either self-hosted or on the cloud)
- Experience with SQL databases
- Experience working with Docker, container deployment and management
- Experience describing infrastructure as code (Terraform or similar) as well as designing and implementing CI/CD pipelines
- Excellent programming skills with at least one of Java or Python

Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.

Life at [Checkout.com](http://Checkout.com) We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our[Careers Page](https://www.checkout.com/careers) to learn more about our culture, open roles, and what drives us. For a closer look at daily life at [Checkout.com](http://Checkout.com), follow us on [LinkedIn](https://www.linkedin.com/company/checkout/life/) and [Instagram](https://www.instagram.com/checkout_com/)

## About Checkout.com

## Company Overview
- **One-liner**: Checkout.com is a global, high-performance payment platform that enables enterprises to accept payments, move money, and optimize revenue through a modular, AI-powered suite of services.
- **Entity Type**: Private (Series D, last funding round Jan 2022)
- **Headquarters**: London, England, United Kingdom
- **Founded**: 2012
- **Founders**: Guillaume Pousaz

## Core Business
- **Primary industry**: Payments / FinTech (online payment processing, acquiring, fraud management, money movement)
- **Target customers**: B2B – primarily enterprise merchants and high-growth digital businesses (e.g., e-commerce, travel, food delivery, marketplaces)
- **Mission or purpose**: To turn payments into a powerful revenue driver for businesses by obsessing over every basis point of performance.

## Products & Services
- **Connect**: Accept payments online via a single API, supporting 150+ currencies and local acquiring in 50+ countries.
- **Move**: Simplify global money movement, including payouts, refunds, and supplier payments (e.g., via Visa Direct).
- **Boost** (Intelligent Acceptance): AI-powered engine that optimizes payment routing and retries to increase conversion rates.
- **Protect**: Fraud detection, authentication, identity verification, and chargeback management tools.
- **Manage**: Centralized dashboard for monitoring payments, balances, and analytics across all geographies.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company; last Series D raised $1B at a reported valuation of $40B in Jan 2022 per news, but this is not confirmed in search results – treat as unconfirmed)
- **Key Metric**: Processed $300B in total ecommerce payment volume in 2025 for enterprise merchants (source: checkout.com homepage); total funding raised: $1.8B (Crunchbase)
- **Notable Investors/Partners**: Franklin Templeton, Ribbit Capital (among 14 investors per Crunchbase); partner with Visa Direct; named a Leader in The Forrester Wave™: Merchant Payment Providers, Q1 2026
- **Growth Signals**: 19 offices worldwide; 1,000–5,000 employees; serves category-defining businesses (e.g., Klarna, Grab, The Trade Desk, etc. as shown in case studies); AI-powered Intelligent Acceptance delivering 4–6% uplift in acceptance rates for clients.

## Competitive Advantages
- **Proprietary technology**: Cloud-native, self-healing infrastructure with high uptime and local acquiring in 50+ countries.
- **AI-first optimization**: Intelligent Acceptance engine uses network data and machine learning to maximize conversions.
- **Modular platform**: Products work standalone or together, allowing merchants to customize their payment stack.
- **Enterprise scale**: Proven ability to handle billions in volume for global merchants.
- **Single platform for issuing and acquiring**: Recently unified issuing and acquiring to improve liquidity and control for travel and other verticals.

## Strategic Focus
- **AI acceleration**: Going all-in on AI across products and internal operations (see blog “How we’re using AI to accelerate our velocity”).
- **Agentic commerce**: Preparing for AI-driven shopping agents by developing merchant-controlled checkout models and chargeback strategies.
- **Expanding money movement**: Enhancing payout capabilities (e.g., Visa Direct partnership) and virtual card issuing.
- **Global reach**: Continuing to add local acquiring markets and payment methods.

## Why Work Here
- **Culture**: High-performance, ownership-driven environment with values like “Athlete Mindset”, “Never Give Up”, “Talk Straight”, and “One Team”. Emphasis on continuous improvement, data-driven decisions, and speed.
- **Hybrid policy**: Required in-office Tuesday, Wednesday, Thursday (as of Aug 2025). Also offers “Work from Anywhere” options and flexibility.
- **Diversity & belonging**: Nine employee-led communities (Ability+, Arab, Asian, Black, Jewish, Latine, Parents, Pride, Women). Committed to inclusive hiring and accessibility.
- **Benefits**: Comprehensive health and wellbeing cover, family-forming support, high-quality food in offices, volunteering days, sustainable pace with time away, and choice/control over rewards.
- **Growth**: Fast-paced environment with early ownership, global opportunities, and a focus on learning (continuous development resources).
- **Hiring process**: Four stages – recruiter screen, first interview, task/challenge, final interview. Typically 4–6 weeks. Feedback provided after each stage.

## Sources
1. [checkout.com](https://www.checkout.com/?ref_type=adv)
2. [checkout.com/life-at-checkout](http://www.checkout.com/life-at-checkout)
3. [checkout.com/jobs](https://www.checkout.com/jobs)
4. [checkout.com/careers](https://www.checkout.com/careers)
5. [crunchbase.com](https://www.crunchbase.com/organization/checkout-com)

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