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Senior Software Engineer - 2026 World Cup Infrastructure | New York, NY

Global Sports Tech Solutions
New York
Estimated Salary
USD 140.000 – USD 180.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are seeking a visionary Senior Backend Engineer to architect the core technology stack for the historic 2026 FIFA World Cup. This is a once-in-a-generation opportunity to build systems that will handle millions of concurrent users globally. You will work on real-time data processing, secure ticketing infrastructures, and immersive fan engagement platforms designed to redefine the sports tech landscape. Join us in shaping the digital future of the world's largest sporting event.

Why Join Us?

  • Impactful Work: Build scalable solutions for a global audience of 5 billion.
  • Innovation: Work with cutting-edge technologies in a high-stakes environment.
  • Collaboration: Partner with world-class engineers and industry leaders.

Responsibilities

  • Design and implement highly scalable microservices architecture to support global traffic surges during the 2026 event.
  • Optimize database performance and ensure low-latency data retrieval for live match statistics and streaming services.
  • Collaborate with frontend teams and product managers to define technical requirements and user experience.
  • Implement robust security protocols to protect user data and transaction integrity across all platforms.
  • Mentor junior engineers and conduct code reviews to maintain the highest engineering standards.
  • Conduct load testing and capacity planning to ensure system resilience.

Qualifications

  • 7+ years of professional software development experience in high-volume, high-availability environments.
  • Expert proficiency in Java, Python, or Go (Golang).
  • Deep experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker/Kubernetes).
  • Strong understanding of distributed systems, message queues (Kafka, RabbitMQ), and event-driven architecture.
  • Experience with real-time data processing technologies.
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Required Skills

Java Python Go AWS Azure Docker Kubernetes Microservices Kafka SQL NoSQL Distributed Systems Agile

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