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Trustpilot is a profitable, high-growth FTSE-250 company and the world's largest open customer review platform. You will join a newly formed team within the Trust Tech department focused on building automated systems that enforce Trustpilot's terms of use for businesses.
The team is responsible for developing systems for automatic detection, enforcement of misuse, and internal investigation tools. This work is critical to maintaining trust and transparency on the platform. You will collaborate closely with Data Scientists, Data Ops, and ML Ops to build sophisticated automated architectures that integrate detection models and scale misuse enforcement robustly.
In this role, you will:
- Work in a cross-functional "full ownership" team alongside Product, Design, and Data Science
- Implement and release new features with a focus on backend stability and scalability
- Build solutions to handle high-volume data processing for fraud detection
- Maintain and improve internal tooling frontends (React) used for investigations
- Troubleshoot existing software, squash bugs, and optimize database performance
- Participate in technical discussions and learn best practices for Infrastructure as Code
- Collaborate with Data Scientists to support the integration of detection models
You will work with TypeScript, JavaScript, Node.js, React, Next.js, AWS (ECS, Lambda, SNS, SQS, CloudFormation), GCP (BigQuery, Pub/Sub), Docker, Terraform, DynamoDB, PostgreSQL, and GitHub Actions.
REQUIREMENTS:
- Commercial experience in full-stack web development (or a strong portfolio) with a focus on backend systems
- Solid knowledge of JavaScript and TypeScript
- Solid understanding of backend development with Node.js
- Understanding of SQL (e.g., PostgreSQL) and NoSQL (e.g., DynamoDB) database concepts
- Familiarity with component-based frontend development (ideally React)
- Hands-on experience with AWS or GCP
- Friendly, helpful personality, open to giving and receiving feedback constructively
- Ambitious and passionate about your work, motivated to continually improve
NICE TO HAVE:
- Interest in Applied AI and how it integrates with backend engineering
