Senior Fullstack Engineer (Fintech, AI)

TL;DR

Senior Fullstack Engineer (Fintech, AI): Building and optimizing backend systems and APIs for automated decisioning, operating on large volumes of decision data and exposing them through customer-facing product surfaces, with an accent on scale, performance, and correctness. Focus on processing millions of decisions per day, persisting terabytes of data, and executing large-scale experiments over billions of historical decisions for fraud, AML, onboarding, KYC/KYB, underwriting, and credit use cases.

Location: Berlin (hybrid setup). hirify.global will not cover relocation services for this role.

Company

hirify.global helps financial institutions make smarter, safer decisions with the power of AI to automate complex decisions with full visibility and control.

What you will do

• Build and own backend components written in Python / FastAPI, running on an AWS serverless architecture.
• Design, extend, and maintain complex backend subsystems that operate on large volumes of historical decision data.
• Review pull requests, contribute to architectural decisions, and maintain a high bar for code quality, reliability, and delivery velocity.
• Collaborate closely with Product, Solutions, and other engineering teams to translate business problems into scalable technical solutions.
• Actively participate in team rituals such as planning sessions, demos, and technical deep dives, shaping both execution and long-term direction.
• Grow as an engineer by working on a foundational part of the product, learning from experienced peers, and taking increasing ownership over systems and outcomes.

Requirements

• 7+ years of backend engineering experience with ownership of APIs and production systems.
• Experience building customer-facing platforms.
• Comfort working with large datasets where scale, performance, and correctness matter.
• Prior industry experience with Python.
• Experience with AWS services and serverless architectures.
• English: Fluency, both written and spoken, is crucial for communication in a globally distributed environment.
• Excited about the potential of AI-driven automation and actively using AI tools to improve productivity.
• Location: Berlin (hybrid setup).

Nice to have

• Experience with large-scale data technologies such as Apache Iceberg, Athena, or Spark.
• Experience with React and TypeScript.
• Experience building experimentation or evaluation systems.
• Exposure to fraud, AML, risk, or financial decisioning domains.

Culture & Benefits

• Work with colleagues that lift you up, challenge you, celebrate you and help you grow.
• Experience a truly flat hierarchy and communicate directly with founding team members.
• Learn from experienced mentors and achieve tremendous personal and professional growth.
• Receive a top-of-market equity and cash compensation package.
• Get access to a self-development budget you can use to attend conferences, buy books or take classes.
• Receive a new Apple MacBook Pro and meaningful home office set-up.