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Staff Software Engineer - Streaming

Checkout.comLondon, United KingdomFull-timeSalary not listed · Typical pay in United KingdomPosted Nov 12, 2026

Checkout.com has an opening for a Staff Software Engineer - Streaming in London, United Kingdom. The listing describes it as a full-time, staff/principal-level position with hybrid working.

Written by Dev Global Jobs

DGJ summary of this job

Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.

Checkout.com has an opening for a Staff Software Engineer - Streaming in London, United Kingdom. The listing describes it as a full-time, staff/principal-level position with hybrid working.

The advert mentions Python, Java, SQL, Kafka, AWS, Kubernetes, Docker and Terraform among the skills and tools for this role.

The employer does not state a salary in this listing; DGJ Insight below shows an official pay benchmark for the place where one exists.

Visa sponsorship is not mentioned. Applicants from outside United Kingdom should check the official work permit route before applying.

Dev Global Jobs found this job on Arbeitnow on Nov 12, 2026.

Employer
Checkout.com
Location
London, United Kingdom
Work mode
hybrid
Job type
Full-time
Level (from the title)
staff/principal-level
Pay
Not stated by the employer
Found
Nov 12, 2026 on Arbeitnow
Employer text
815 words, about 4 min to read
Skills named in the advert
PythonJavaSQLKafkaAWSKubernetesDockerTerraformCI/CDDevOps
Before you apply
  • Apply only on the official page (arbeitnow.co.uk). Dev Global Jobs is not the employer and never asks for a fee.
  • Mirror the skills the advert names (Python, Java, SQL and Kafka) in your CV where you really have them; applicant tracking systems look for these words.
  • Read the employer’s full text below (about 4 min) before you apply.
  • Build or check your CV with the free DGJ CV Builder.
Only on Dev Global Jobs

DGJ Insight

Our own data about this role and place, from official statistics and our live job index.

Updated Nov 12, 2026
Pay benchmark
Average wage, United Kingdom
GBP 46,511 average / year

Source: OECD Average annual wages, 2025

Cost of living · United Kingdom
100.5 vs New York = 100

UN living-cost index for United Kingdom (ICSC post adjustment 76.4), as of 1 Oct 2026.

Source: ICSC post adjustment classifications (icsc.un.org)

Work permit route
  • Skilled Worker visa: Job offer from a licensed sponsor at the required skill and salary level; English requirement
  • Health and Care Worker visa: Eligible health and social care roles with a licensed sponsor
  • Global Talent visa: Endorsement as a leader or potential leader in a listed field

Official routes: UK Visas and Immigration (GOV.UK)

Job description

About the role

Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.

Company Description

We’re 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.

01About 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.

02Key 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

03About 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

04Bring 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

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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