Software Engineer, Trustpilot

• 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
• Some relevant technologies and services we use:
• Languages: TypeScript, JavaScript
• Infrastructure: AWS (ECS, Lambda, SNS, SQS, CloudFormation), GCP (BigQuery, Pub/Sub), Docker, Terraform
• Backend: Node.js, Serverless Framework
• Database: DynamoDB, PostgreSQL, BigQuery
• Frontend: React, Next.js, CSS Modules
• Tools: GitHub Actions

Desirable

• 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
• 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
• 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