Senior Full-Stack Engineer - Fintech, Remote & Flexible

Payhawk

City Of London

Hybrid

GBP 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Competitive pay
30 days holiday
Office exchange program

Job summary

Payhawk in London is seeking a Senior Full Stack Software Engineer to join our scaling fintech engineering team. You’ll own end-to-end delivery of complex features across frontend and backend, and work with product managers to translate business needs into reliable software.

We’re technology agnostic and value high performance, maintainable code, CI/CD, and mentoring peers. 6+ years of experience, a computer science degree, and a passion for AI/LLMs are preferred; remote/hybrid options from our

Qualifications

  • 6+ years of relevant work experience.
  • Experience with agile processes, CI/CD, and testing.
  • Ability to work across frontend and backend teams and mentor peers.

Responsibilities

  • Lead the build of new product features and maintain existing ones end-to-end.
  • Participate in full SDLC including frontend, backend, testing, deployment and LLM‑based functionalities.
  • Collaborate with product managers and designers to capture requirements and align with business goals.
  • Break down complex problems into well-scoped tasks and drive delivery with minimal supervision.
  • Write scalable, high‑quality code with testability and continuous integration in mind.
  • Mentor other engineers and share knowledge across teams.

Skills

Node.js
TypeScript
PostgreSQL
Kubernetes
Docker
Google Cloud
React
React Native
Apache Kafka

Education

Bachelor's degree in Computer Science

Job description

Payhawk in London is seeking a Senior Full Stack Software Engineer to join our scaling fintech engineering team. You’ll own end-to-end delivery of complex features across frontend and backend, and work with product managers to translate business needs into reliable software.

We’re technology agnostic and value high performance, maintainable code, CI/CD, and mentoring peers. 6+ years of experience, a computer science degree, and a passion for AI/LLMs are preferred; remote/hybrid options from our

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