Full-Stack Developer (Node.js, Python, JavaScript, TypeScript, React)

80–130 tis. Kč
Hybrid
Praha
Full-time

About the Role

Join a dynamic engineering team building innovative, data-driven products and internal tools for the sports analytics industry. You’ll work on both backend and frontend solutions, collaborating with AI, ML, and Data Science teams to deliver scalable, high-performance applications and pipelines. The environment is cloud-first, leveraging AWS, GCP, and Kubernetes, and values strong engineering practices and collaboration.

Key Responsibilities

Backend Focus:

Design and build cloud-native streaming and batch data pipelines using Python, Node.js, AWS, and Kubernetes.
Develop scalable solutions for processing and standardizing live and historical datasets.
Collaborate with Data Science teams to optimize pipelines for production.
Refactor and enhance proof-of-concept models for production-grade performance and scalability.
Build and maintain cloud infrastructure using best practices for scalability, performance, and cost-efficiency.
Use observability tools (e.g., ELK, Prometheus, Grafana) for monitoring and debugging.
Mentor junior engineers and share best practices.

Frontend Focus:

Develop and maintain modern, responsive web applications using React.js and TypeScript.
Build reusable UI components for scalable, future-ready products.
Collaborate with backend, AI, and ML teams to integrate intelligent features and deliver seamless user experiences.
Contribute to rewriting legacy systems with new tech stacks.
Support cloud operations and migrations (GCP to AWS or in-house solutions).
Optimize performance and ensure high-quality UI/UX across platforms.

Required Qualifications

Proficiency in Python and Node.js for backend development.
Strong experience with JavaScript, TypeScript, and React.js for frontend development.
Experience with cloud environments (AWS and/or GCP).
Hands-on experience with Kubernetes for deployment and scaling.
Familiarity with event-driven systems and distributed architecture.
Experience with data engineering and processing (standardizing live and historical data).
Ability to navigate performance challenges in both backend and frontend development.
Strong problem-solving and collaboration skills.
Experience working in data-heavy or sensitive environments is a strong plus.

Desired Qualifications

Experience with observability tools (ELK, Prometheus, Grafana).
Familiarity with CI/CD pipeline development (e.g., Jenkins, GitHub Actions).
Knowledge of Data Science and Machine Learning concepts.
Background in Computer Vision or experience working with CV datasets.
Motivation to experiment with new technologies and create solutions in fast-paced environments.

Candidate Profile

Mid/Senior level (3+ years of experience).
Ready for big challenges and strong team collaboration.
Must have EU residency or a valid EU work visa.
Full-time, employee contract only (no B2B/freelance).

What We Offer

Full-time, permanent employment.
Premium medical care and mental health days.
25 days of vacation, plus extra days based on service.
Flexible working schedules and ‘No Meeting Fridays’.
MultiSport card (CZ) and other wellness benefits.
Pension contribution (CZ).
Career and professional growth opportunities, including access to Udemy, O’Reilly, and more.
Referral bonus program.
Involvement in industry-leading, innovative solutions with global visibility.
Supportive and collaborative team culture.