Staff Software Engineer (Payments Platform / Python)

PulseRise TechnologiesNew York, NY
1dHybrid

About The Position

We are looking for a Staff Software Engineer to join an early-stage fintech company building a next-generation payments platform designed to power billions in transaction volume. This role is ideal for a senior backend engineer who thrives in high-ownership environments and enjoys shaping system architecture from the ground up. You will play a critical role in designing and scaling core platform components that support high-value financial transactions. The position requires deep Python expertise and strong systems thinking, particularly in building robust, secure, and scalable payment infrastructure. You will work closely with the CTO and founding team, owning key initiatives from conception through production deployment. This is an opportunity to help build the technical foundation of a rapidly scaling financial technology platform.

Requirements

  • 5+ years of professional software engineering experience
  • Strong production experience with Python (required)
  • Experience building and scaling backend systems
  • Strong system design and architectural thinking
  • Experience shipping production-grade APIs
  • Ability to operate autonomously in an early-stage environment
  • Strong communication and collaboration skills

Nice To Haves

  • Experience with Django
  • Experience with AWS services
  • Experience with PostgreSQL and Redis
  • Prior fintech or payments experience
  • Experience building, maintaining, and debugging backend systems at scale

Responsibilities

  • Own and ship core components of the payments platform
  • Design and implement scalable, secure backend architectures
  • Develop and maintain customer-facing APIs
  • Architect systems capable of handling high transaction volumes
  • Maintain high standards for reliability, performance, and code quality
  • Collaborate closely with the CTO and engineering team on technical strategy
  • Contribute to technical roadmap decisions during hyper-growth scaling
  • Debug, optimize, and continuously improve backend systems
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