Offer summary

Qualifications:

At least 3 years of experience leading software development teams in fast-paced environments., Expertise in Node.js and React, with knowledge of distributed systems architecture., Hands-on experience with Kafka, BullMQ, Redis, and Kubernetes for real-time data systems., Strong problem-solving skills and ability to manage complex projects from concept to deployment..

Key responsibilities:

Lead and mentor a team of engineers, fostering a culture of ownership and continuous improvement.

Drive the end-to-end delivery of complex development projects, ensuring quality and timeliness.

Make architectural decisions and lead innovation efforts for the data collection platform.

Collaborate with cross-functional teams to align technical roadmaps and optimize system performance.

Job description

Description

LSports is the leading global provider of sports data, dedicated to revolutionizing the industry through innovative solutions. We excel in sports data collection and analysis, advanced data management, and cutting-edge services like AI-based sports tips and high-quality sports visualization. As the sports data industry continues to grow, LSports remains at the forefront, delivering real-time solutions.

The Collection Team operates as a startup within a startup—an agile, self-driven unit within the Data Collection group that holds end-to-end responsibility for building and scaling LSports’ proprietary data collection platform.

This product ingests, processes, and manages petabytes of real-time data streams from thousands of sporting events worldwide, forming the backbone of LSports’ data services. The team leads the charge on innovation, infrastructure design, and real-time performance optimization in a mission-critical environment.

As the Collection Team Development Leader, you’ll lead a team of talented engineers focused on solving challenging data engineering problems with high-impact outcomes. You’ll guide architectural decisions, drive project execution, and maintain the flexibility and autonomy of a lean, fast-moving startup team.

Responsibilities:

Lead & Mentor: Manage and support a high-performing team of engineers, fostering a culture of ownership, creativity, and continuous improvement.
End-to-End Project Delivery: Drive multiple complex development projects from design through deployment, ensuring delivery on time and at high quality.
Architect & Innovate: Lead architectural decisions and innovation efforts for the core data collection platform, ensuring it scales with business needs and real-time demands.
Cross-Team Collaboration: Work closely with the Link + Robots team, Product Managers, and other stakeholders to align technical roadmaps and feature planning.
Risk & Performance Management: Anticipate delivery risks and technical bottlenecks, implementing proactive solutions for system resilience and scalability.
Continuous Optimization: Improve system performance, reliability, and throughput to support high-volume, low-latency data ingestion and processing.

Requirements

3+ years of experience leading software development teams in dynamic, fast-paced environments.
Expertise in Node.js and React, with deep knowledge of distributed systems architecture and performance tuning.
Hands-on experience with Kafka, BullMQ, Redis, and Kubernetes in the context of building high-throughput, real-time systems.
Proven track record of successfully managing and delivering complex software projects from concept to production.
Strong problem-solving skills, ability to manage ambiguity, and commitment to delivering measurable value.
Thrives in a fast-moving, evolving environment where experimentation, rapid iteration, and personal ownership are valued.

Advantage:

Experience with data collection technologies and challenges such as concurrency, anti-bot defenses, and proxy infrastructures.
Familiarity with the sports data or sports betting industry

Required profile