IT & Software

Staff Software Engineer - Streaming

Checkout.com

London · Greater London · United Kingdom

Overview

As a Staff Data Engineer in Checkout.com's Data and AI Platform Team, you will shape a scalable, AI-powered data platform that serves hundreds of teams and petabyte-scale volumes. You’ll enable engineers to focus on business problems by handling data collection, storage, processing and deployment concerns. You’ll guide platform adoption across the org and drive impactful, data-driven outcomes. This role offers the chance to influence architecture and elevate how we enable event-driven use cases at scale.

Pay / Benefits
  • hybrid working model
  • three days in the office
  • growth and ownership
  • high-performance culture
  • collaborative environment
Responsibilities
  • Develop a high-availability, large-scale event streaming platform using Kafka and Flink
  • Provide leadership, mentoring, and strategic influence across engineers and managers
  • Create tooling and documentation to promote platform adoption and ease of publishing data and deploying streaming apps
  • Build infrastructure enabling users to host, monitor, and deploy streaming applications
  • Advise the tech organization to accelerate adoption of the platform and unlock event-driven use cases
  • Translate requirements and architecture work into actionable plans
  • Offer hands-on support for event-based systems, including incident triage and root cause analysis
Key requirements
  • Strong background in data systems with a focus on owning and scaling event streaming platforms
  • Proven ability to influence engineering organizations through clear communication
  • Hands-on experience with stream technologies, especially Kafka; experience with Kinesis
  • Experience designing and implementing stream processing with Flink
  • Cloud experience (AWS: MSK, S3, Lambda, ECS, SNS)
  • Kubernetes experience (self-hosted or cloud)
  • SQL databases experience
  • Docker, container deployment and management
  • Infrastructure as code (Terraform or similar) and CI/CD pipelines
  • Proficiency in Java or Python
  • strong presentation and communication skills
  • ability to influence across teams
  • collaborative and proactive problem-solving
  • Kafka
  • Flink
  • Kinesis

Reference: WJ-747_30346319

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