About this role
At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust!
We are growing our engineering team at Trustpilot and are looking to welcome a Software Engineer I into the Trust Tech department!
You will join a cross-functional team with full ownership of our products and codebase, where you will take part in every step of the development process, from ideation to maintenance. This is a place where you can grow as an individual, learn from senior mentors, and have a real influence on the direction of our projects.
About the team:
You will be joining a brand new team being built within the Trust Tech department, focusing specifically on businesses.
The team is responsible for building and maintaining automated systems that enforce Trustpilot’s terms of use for businesses. This includes developing systems for automatic detection, enforcement of misuse, and internal investigation tools.
This work is vital to maintaining Trust and Transparency on the platform. To achieve this, we collaborate closely with Data Scientists, Data Ops, and ML Ops to build sophisticated automated architectures that integrate detection models and robustly scale our misuse enforcement.
What you’ll be doing:
• 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.
• Help build solutions to handle high-volume data processing for fraud detection.
• Maintain and improve the internal tooling frontends (React) used for investigations.
• Troubleshoot existing software, squash bugs, and learn how to 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.
Who you are:
• Experience in full-stack web development (commercial experience 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.
• A 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.
Some relevant technologies and services we use:
• Languages: TypeScript, JavaScript
• Infrastructure: AWS (ECS, Lambda, SNS, SQS, CloudFormation), GC