Full Stack Engineer (Backend Oriented)

Pipl is an AI company that helps global enterprises make better fraud decisions. We're built on more than 20 years of identity data and Elephant, the industry's only large risk model trained on payment fraud.

Pipl's three products give enterprise teams modular access to the intelligence they need across payment and transaction ecosystems, where the cost of getting it wrong is highest.

Pipl Trust brings AI-native risk decisioning into payment workflows, with Elephant resolving identity across behavioral, device, and network signals in real time. Pipl Search connects identity intelligence for investigations and background checks, drawing on our global identity graph. Pipl Elements delivers phone and email signals that strengthen existing fraud models and verification workflows.

Our identity graph covers more than 5 billion identities and 740 billion signals. The world's largest payment networks, ecommerce marketplaces, and digital wallet platforms trust Pipl to get it right.

We are looking for a Full Stack Engineer (Backend Oriented) to join our Trust team. In this role as a Full Stack Developer, you will be involved in the design and development of our applications, contributing to building valuable web products and features.

You will collaborate closely with team members to ensure the smooth operation of these applications in production environments. This position offers an excellent opportunity to grow your skills and gain experience, with the support of more senior team members to guide you along the way.

Requirements:

• B.Sc./M.Sc.in Computer Science or equivalent.
• 4+ years of experience in Full Stack development.
• Experience with at least one backend language such as Python, Java or GO.
• Proficiency with AI coding assistants (such as Claude, Cursor or Codex) as part of the daily development workflow.
• Familiarity with frontend frameworks such as React and backend frameworks like Django, FastAPI or Spring.
• Working knowledge of SQL and NoSQL databases.
• Familiarity with CI/CD pipelines and agile methodologies.
  
  

• Experience or familiarity with GCP, Docker, Kubernetes, Redis, Kafka, Security, Performance, or Optimization.