Overview
Checkout.com is a global payments platform. We power billions of transactions every year and help businesses grow by making digital payments seamless. With 19 offices across six continents, London is our HQ. We seek a Senior Engineering Manager to join our Data and AI Platform Team. The team’s mission is to provide tools and platforms that enable data and AI to be leveraged to benefit our products, merchants, and internal collaborators and teams. Our focus is to maximise the time other teams spend on solving business problems and innovating, while minimising the time spent on technical details around implementation, deployment and monitoring of data and AI solutions. We are building for scale, with technology and infrastructure that will serve hundreds of teams and petabyte-level data volumes.
Key Responsibilities
- 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 inclusive environment and mentor team members in their career development and interpersonal skills.
- Oversee quarterly execution of roadmap delivery, ensure the team focuses on the right priorities, and efficiently manage dependencies and cross-functional hurdles.
- Collaborate with Engineering to provide solutions to internal clients for data platform use cases.
- Build and improve strong relationships with engineers, managers, and product leads across multiple teams.
- Ensure compliance with control frames from internal stakeholders (InfoSec, Internal Audit) and external auditors and regulators; experience in regulated industries is critical.
- Oversee AI use-cases and lead the team to develop the infrastructure and tooling required for AI governance and scalable GenAI production environments.
About You
- Experience leading and growing a team of data professionals.
- Experience as a data or software engineer, preferably in a fast-paced growing company.
- Ability 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 streaming 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 infrastructure for LLM orchestration (e.g., Vector DBs, RAG pipelines, or GPU scaling) is a significant plus.
Additional Information
- Bring all of you to work. We create conditions for high performers to thrive with ownership, fewer blockers, and meaningful work from day one.
- We offer a fast-paced environment where you’ll be recognized for impact and growth is in your hands.
- We work as one team and welcome diverse backgrounds and identities.
- If you need any adjustments to make your application or working environment more comfortable, let us know in your application or tell your recruiter directly.
Life at Checkout.com
We understand work is only part of life. Our hybrid model offers flexibility, with three days per week in the office to support collaboration. Curious about life on our team? Visit our Careers Page for culture, open roles, and what drives us. For a closer look at daily life, follow us on LinkedIn and Instagram.
#J-18808-Ljbffr