At a Glance
- Tasks: Design and build scalable Python microservices for a leading fintech platform.
- Company: Join a market-leading fintech company embracing cutting-edge technology.
- Benefits: Enjoy competitive salary, flexible work, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make an impact in fintech while working with AI tools and mentoring others.
- Qualifications: Strong Python skills and experience with AWS and SaaS architecture required.
The predicted salary is between 60000 - 80000 £ per year.
Senior Python Engineer - AWS and AI - 2 days a week in London
About The Role
Our client is a market‑leading fintech platform looking for a
Senior Python Engineer to drive the evolution of their core B2B Saa S products.
In this role, you will design scalable microservices handling massive financial datasets, collaborate closely with product teams, and mentor junior peers.
They heavily embrace cutting‑edge engineering; you will actively utilize modern AI agent tools and LLM assistants to accelerate delivery and maintain a high bar for code quality.
Key Responsibilities
- Saa S Design & Build: Design, implement, and scale reliable Python microservices across single‑ and multi‑tenant Enterprise Saa S architectures.
- AI Productivity: Champion the adoption of AI engineering tools (e. g., Copilot, Claude, Cursor) and automated workflows to optimize delivery speed and code quality.
- Cloud Operations: Manage and optimize AWS infrastructure with a focus on observability, least‑privilege security, and operational excellence.
- Product Collaboration: Partner with Product Owners to translate complex data requirements into clear, well‑scoped engineering tasks.
- Mentorship: Actively support the technical growth of junior and mid‑level engineers through thoughtful code reviews and guidance (no formal line management required).
- Technical Requirements
- Python & Saa S Architecture: Strong experience building B2B Saa S applications, REST APIs, and distributed microservices using Python.
- AWS Cloud & Ia C: Practical experience with core AWS services (Cognito, Lambda, Fargate, API Gateway, S3, IAM) and infrastructure management via Terraform.
- Data Layer: Solid working knowledge of Postgre SQL (relational modeling, query optimization).
- AI Tooling Literacy: Hands‑on experience integrating AI assistants or LLM workflows into your daily development cycle to boost productivity.
- Engineering Leadership: Proven ability to navigate ambiguity, take end‑to‑end ownership of tasks, and influence technical decisions constructively.
Desirable Skills
- Fin Tech & Big Data: Familiarity with capital markets, financial data visualization, or high‑scale tools (Duck DB, pandas, Spark, Snowflake).
- Advanced AWS & AI: Experience with event‑driven architectures (SQS, SNS, Event Bridge) or LLM frameworks (Lang Chain, Llama Index).
- Frontend: Competency in Type Script for building data science/data visualization interfaces.
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We think you need these skills to ace Senior Python Engineer - AWS and AI in London
Python
B2B SaaS Architecture
REST APIs
Distributed Microservices
AWS Services (Cognito, Lambda, Fargate, API Gateway, S3, IAM)
Infrastructure as Code (Terraform)
PostgreSQL
