招聘
Company Description
We’re Checkout.com – you might not know our name, but companies like eBay, ASOS, Klarna, Uber Eats, and Sony do. That moment when you check out online? We make it happen.
Checkout.com is where the world checks out. Our global network powers billions of transactions every year, making money move without making a fuss. We spent years perfecting a service most people will never notice. Because when digital payments just work, businesses grow, customers stay, and no one stops to think about why.
With 19 offices spanning six continents, we feel at home everywhere – but London is our HQ. Wherever our people work their magic, they’re fast-moving, performance-obsessed, and driven by being better every day. Ideal. Because a role here isn’t just another job; it’s a career-defining opportunity to build the future of fintech.
Job Description About the role
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 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
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Work with stream processing technologies (Kafka and Flink) to build a continuously available large-scale event streaming platform
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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
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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
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Implement all the necessary infrastructure to enable end users to build, host, monitor and deploy their own streaming applications
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Provide consultancy across the technology organisation to drive the adoption of the platform and unlock event-driven use-cases
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Participate, translate, run and execute the collection of requirements and architecture/design initiatives into action plans
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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.
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Strong presentation and communication skills with a proven track record of influencing engineering organisations
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Strong engineering background with a track record of implementing and owning event streaming platforms
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Hands-on experience working with stream technologies, primarily Kafka, but also Kinesis
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Experience designing and implementing stream processing applications with Flink
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Experience working with cloud-based technologies such as AWS (MSK, S3, Lambda, ECS, SNS)
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Experience with Kubernetes (either self-hosted or on the cloud)
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Experience with SQL databases
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Experience working with Docker, container deployment and management
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Experience describing infrastructure as code (Terraform or similar) as well as designing and implementing CI/CD pipelines
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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 atCheckout.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 to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram
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关于Checkout.com

Checkout.com
Series DCheckout.com is a global payment processing platform that provides payment infrastructure and solutions for businesses to accept payments online and in-store. The company offers APIs and tools for payment processing, fraud prevention, and financial services integration.
1,001-5,000
员工数
London
总部位置
$40B
企业估值
评价
3.7
13条评价
工作生活平衡
3.7
薪酬
3.8
企业文化
3.9
职业发展
3.6
管理层
3.8
76%
推荐给朋友
优点
Opportunity for career growth
Supportive team and management
Competitive compensation and benefits
缺点
Work-life balance varies by team
Career progression could be clearer
Room for improvement in processes
薪资范围
0个数据点
L2
L3
L4
L5
L6
L2 · Financial Analyst L2
0份报告
$59,001
年薪总额
基本工资
$23,600
股票
$29,501
奖金
$5,900
$41,301
$76,701
面试经验
45次面试
难度
3.1
/ 5
时长
14-28周
录用率
35%
体验
正面 64%
中性 24%
负面 12%
面试流程
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
常见问题
Technical skills
Past experience
Team collaboration
Problem solving
新闻动态
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3d ago
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4d ago
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5d ago
Checkout.com Emphasizes Framework for Optimizing Payment Performance - TipRanks
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