FinTech Client #5 | Python Tech Lead

SD Solutions


Job Location:

Warsaw - Poland

Monthly Salary: Not Disclosed
Posted on: 3 days ago
Vacancies: 1 Vacancy

Job Summary

On behalf of FinTech Client #5 SD Solutions is looking for a talented Python Tech Lead to lead the backend engineering effort behind a nationally trusted mobile payment platform.

We are seeking an experienced Tech Lead with a passion for building robust scalable systems that support high-concurrency real-time mobile this role youll lead a small empowered team responsible for designing and implementing the core backend services that power the NDA platform while also driving technical direction mentoring engineers and making key architectural decisions. This is a rare opportunity to lead an end-to-end rebuild of a nationally trusted service using modern tools architecture and development practices from day one.

SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.

Responsibilities:

  • Lead the design and architecture of scalable backend services using Python and modern frameworks (e.g. FastAPI)
  • Define technical standards and best practices for building and maintaining RESTful and GraphQL APIs supporting SkyCashs iOS Android and web applications
  • Act as the primary technical point of contact between backend mobile and front-end teams to ensure seamless integration and optimal performance
  • Guide the team in building real-time features using asynchronous programming (e.g. asyncio)
  • Make architectural decisions on SQL and NoSQL database usage for storing and processing large volumes of transactional data
  • Own system reliability and performance under high user load and concurrency including capacity planning and incident response
  • Establish and oversee CI/CD pipelines using tools like GitHub Actions Docker and Kubernetes
  • Set and enforce code quality standards clean testable maintainable code following modern development best practices
  • Mentor and support engineers on the team conducting code reviews and technical guidance
  • Take ownership of the technical roadmap from architecture through production readiness
  • Champion the adoption of AI tools to optimize team workflows and productivity

Requirements:

  • 7 years of backend engineering experience including 2 years in a technical leadership or lead role especially designing high-scale mobile-connected APIs
  • Expert-level Python skills deep experience with asynchronous programming and frameworks like FastAPI Flask or similar
  • Strong track record architecting real-time communication solutions such as WebSockets
  • Deep understanding of client-server architecture and API design principles with experience setting these standards for a team
  • Strong experience with both SQL and NoSQL databases (DynamoDB experience is a plus)
  • Proven experience with cloud platforms (AWS GCP or Azure) and serverless architecture at scale
  • Strong background in containerization (Docker) and CI/CD pipeline design
  • Demonstrated ability to advocate for and enforce code quality including unit/integration testing and automated pipelines
  • Proven leadership skills able to guide mentor and unblock a small autonomous team
  • Comfortable owning technical decisions and their outcomes in a fast-paced flexible environment
  • Open to working 3 days/week onsite at our Polish office

Advantages:

  • Experience leading migrations from Java-based systems to Python
  • Familiarity with mobile analytics tools like Firebase Mixpanel etc.
  • Experience collaborating with and guiding mobile developers (native or React Native/Flutter)
  • Strong understanding of monitoring tools (Prometheus Sentry ELK)
  • Contributions to open-source projects or active participation in developer communities

About the company:

A leading mobile payments platform serving millions of users across urban mobility services including transportation ticketing parking and digital top-ups through a single consumer app. The company is undergoing a major platform overhaul migrating from legacy infrastructure to a scalable Python-based architecture with real-time processing and AI-driven components.

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