Senior Full-Stack Engineer

SplitMetrics is a global software company offering an ecosystem of products and services that serve as a growth engine for top mobile-first businesses worldwide.

In this role you will:

• Develop and maintain user interfaces with frameworks like React, Angular, or Vue, ensuring scalable and performant SPAs.

• Collaborate on designing frontend architecture, component-based UI, and optimizing performance.

• Write and review code for quality, security, and best practices across both frontend and backend components.

• Build backend services using Python, focusing on high-load, data-intensive systems, and optimizing data pipelines and analytics.

• Refactor legacy systems and migrate to modern tech stacks.
  Integrate frontend with backend APIs; ensure smooth data flow and system reliability.

• Implement automated testing (unit, e2e) and participate in CI/CD processes.

• Monitor, troubleshoot, and improve system stability and performance.

About you:

Frontend:

• 4+ years experience with JavaScript (ES6+) and frameworks such as React, Angular, or Vue.

• Strong skills in UI design, component architecture, CSS/SCSS, and responsive interfaces.

• Experience with modern build tools and testing frameworks.
  Knowledge of web security best practices.

Backend:

• 4+ years experience with Python, with deep expertise in building high-load, scalable systems.

• Strong SQL skills, especially with PostgreSQL, including performance tuning and optimization.

• Experience developing microservices, data pipelines, and analytics solutions.

• Familiarity with modern CI/CD practices and tools.
  Ability to refactor legacy code and migrate to modern tech stacks.

• Strong focus on business implications when making decisions on architecture.

General Skills:

• Strong focus on system (liability, observability, and troubleshooting.

• Business-oriented mindset, capable of making architecture decisions that support product growth.

• B1+ English level knowledge.

How we measure success in this role:

• High-load services operate reliably under large data volumes.

• Data is processed efficiently and used for analytics or product features.

• The system is observable, stable, and easy to troubleshoot.

• The platform supports product goals and scales with business.