Software Engineer, Trustpilot

• We're looking for someone who has shipped backend services to real users in a production environment — whether through employment or a demonstrable portfolio with genuine complexity and traffic
• TypeScript/JavaScript and Node.js backend development — not just familiarity, but services you've owned end-to-end
• Relational and non-relational databases (SQL concepts, query optimisation, understanding of when to use each)
• Asynchronous, event-driven systems — you've worked with message queues or async processing patterns, and understand why they matter at scale
• Cloud infrastructure (AWS preferred) — you've deployed and operated services, not just provisioned a free-tier bucket
• React — enough to be productive on an internal tooling frontend
• You don't need to have seen everything, but you should have genuine production experience behind the skills you list

Desirable

• We're building a brand new team within Trustpilot's Trust Tech department and are looking to welcome a Software Engineer I
• You'd be one of the first engineers shaping how this team operates
• The team's mission is to protect the integrity of our platform for businesses — building and maintaining automated systems that detect and enforce misuse of Trustpilot's terms of service
• This is not a maintenance role on a legacy codebase
• You'll help define how the team works, contribute to architectural decisions early, and work directly alongside Data Scientists and ML Ops to build detection pipelines that operate at real scale
• In return, you'll have access to senior engineers who will invest in your growth, and a domain that gives your work genuine meaning
• If you want early responsibility, a clear learning path, and work that matters — this is for you
• Building and maintaining backend services that process high volumes of event-driven data for fraud and misuse detection (SNS, SQS, Lambda)
• Integrating detection models produced by our Data Science team into scalable enforcement pipelines
• Maintaining and improving internal React frontends used by our investigations team
• Contributing to infrastructure decisions using Terraform and AWS CloudFormation
• Participating in incident response, performance debugging, and database query optimisation (PostgreSQL, DynamoDB)