FinTech Client #5 | Python Tech Lead

• 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 applications. In this role, you'll 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 SkyCash's 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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