We are a stealth startup led by experienced founders, backed by Team8, a leading VC firm, building AI-powered scam prevention solutions, and we’ve just secured seed funding!
This is an exciting opportunity to join at an early stage and make a huge impact. We’re on a mission to revolutionize the industry and are looking for brilliant, curious, and fun-loving individuals to join our team and build cutting-edge technology.
We’re looking for a creative Backend Engineer with a passion for security to help build an exciting new product. If you’re ready to lead, innovate, and grow - join us!
Your role:
As a Backend Engineer, you’ll play a crucial role in designing, developing, and maintaining the core backend services that power our AI-driven fraud prevention platform. You will:
- Design and build scalable, cloud-native backend services using.
- Develop and optimize data pipelines, storage systems, and APIs to process real-time fraud signals.
- Architect and implement event-driven microservices to support large-scale data ingestion and analytics.
- Collaborate with product managers, security researchers and data scientists to deliver high-impact solutions.
- Ensure high performance, scalability, and reliability of backend infrastructure.
- Work with cloud-native technologies (GCP, Kubernetes, serverless frameworks) to deploy and manage services.
- 5+ years of software engineering experience in backend development for large-scale SaaS or data-driven applications.
- Strong expertise in backend technologies and modern API design.
- Experience building data-intensive applications, including event-driven architectures, real-time processing, or batch pipelines.
- Familiarity with cloud-native infrastructure (GCP/AWS, Kubernetes, serverless architectures).
- Experience working with databases (PostgreSQL, BigQuery, or NoSQL solutions).
- Strong problem-solving skills, a growth mindset, and a team-oriented approach.
Nice to Have:
- Experience in fraud prevention, cybersecurity, or risk systems.
- Hands-on experience with stream processing frameworks (Kafka, Pub/Sub, Flink).
- Knowledge of CI/CD pipelines and DevOps best practices.