Checkout.com에서 데이터 및 AI 플랫폼 팀을 이끌 Senior Engineering Manager를 채용합니다. 대규모 데이터 처리 시스템 설계 및 운영 경험과 데이터 엔지니어링 팀 리딩 역량이 필수입니다. 금융권 규제 환경에서의 시스템 구축 경험을 우대하며, GenAI 인프라 및 확장 가능한 플랫폼 개발을 주도하게 됩니다.
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.
Checkout.com is looking for an ambitious Senior Engineering Manager to join our Data and AI Platform Team. Our team’s mission is to ultimately provide all the tools and platforms which will ensure data and AI can be easily leveraged to the benefit of our products, merchants, and internal collaborators and teams.
Our focus should be on maximising the amount of time other teams spend on solving business problems and innovating their products, and minimising the time spent on technical details around implementation, deployment and monitoring of their data and AI solutions.
We're building for scale. As such, much of what we design and implement today will be the technology and infrastructure which will serve hundreds of teams and petabyte-level volumes of data.
Lead the team in establishing and validating their understanding of technical architecture and design end-user centric systems and tools.
Lead technical delivery and operational reliability by automating processes including monitoring and alerting, meeting SLAs/SLO, and minimising toil to ensure high-performance, scalable engineering excellence.
Manage a team of Junior and Senior Data Engineers while also being hands-on when needed. Cultivate an environment where every team member feels included while mentoring team members in their career development and interpersonal skills. Make a good team great.
Ability to oversee quarterly execution of roadmap delivery, ensure the team is focused on the right priorities, efficiently managing through dependencies and other cross-functional hurdles.
Collaborate with Engineering and provide solutions to internal clients for data platform use cases.
Build and improve on strong relationships with engineers, managers, and product leads across multiple teams.
Being in a highly regulated financial space, you’ll need to ensure compliance with various control frames - both from internal stakeholders such as InfoSec and Internal Audit - as well as external requirements from auditors and regulators. Experience working in regulated industries is critical.
Oversee AI use-cases and lead the team to develop the underlying infrastructure and tooling required to support AI governance and scalable GenAI production environments.
Experience leading and growing a team of data professionals.
Experience as a data or software engineer, preferably in a fast-paced growing company.
Be able to partner with Product Management to assess technical feasibility, provide capacity estimates, and balance new features with architectural health.
Excellent time management and proactive problem-solving skills.
Experience designing and implementing batch and stream data processing systems.
Experience with Datadog, SQL, Terraform, Docker, AWS (ECS, Kinesis, SQS, Cloudwatch), GCP (BigQuery).
Knowledge of Airflow, Kafka, Flink, dbt, Kubernetes is highly beneficial.
Good understanding of AI platforms, experience building the infrastructure for LLM orchestration (e.g., Vector DBs, RAG pipelines, or GPU scaling) is a significant plus.
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
