Lead Backend Engineer

Description

A product is an affordable alternative to traditional broadcast video capture system. We provide a full broadcasting solution for amateurs, broadcasters, sports leagues, clubs, coaches and consumers, offering unique, interactive and immersive viewing experiences.

The AI-based automated production solution provides the sports market with easy and affordable ways to produce and distribute high-quality game, player videos and performance analysis. The system consists of a unique panoramic camera head and standard computers running proprietary algorithms for Panoramic and HD video and camera control.

Giving an editing platform for multiple types of athletic events we establish the first end-to-end automated video and data solution in the sports industry. The product revolutionizes sports video with an automated online video editing system that enables coaches to simply and easily access game video break downs, saving them time and hassle. Our range of products include game analysis, game exchange, and video replay. We support all major team sports and caters to every level from youth, high school, college, through professional.

Requirements

• At least 5 years of hands-on experience in backend development, with at least 4-5 years specifically in Node.js in a production environment.
• Proven track record of designing and implementing scalable, high-performance, and secure distributed systems. Demonstrated ability to make sound architectural decisions, considering trade-offs and future scalability.
• Experience with designing and implementing microservices architectures. Understanding of data structures, algorithms, and software design patterns.
• Strong experience with RESTful API design and development; Familiarity with message queues (e.g., Kafka, RabbitMQ)
• Proficiency in working with various database technologies (SQL and NoSQL or others relevant to your stack).
• Strong experience with cloud platforms and associated services is highly desirable; AWS is required, and others (e.g., GCP, Azure) will be a plus.
• Solid understanding of containerization (Docker) and orchestration (Kubernetes).
  Strong background with proven architecture and business-level design expertise, complemented by a solid understanding of front-end principles
• Hands-on experience with modern development approaches, tools, and practices
• Experience with CI/CD pipelines and DevOps practices.
• Proven experience working with Generative AI (GenAI) technologies and frameworks. Demonstrated enthusiasm for personal and team development, particularly in advancing skills and competencies in GenAI.
• Excellent verbal and written communication skills in English. You will be engaging with diverse stakeholders, including product management, UX/UI designers, and other engineering teams. Strong interpersonal skills and a collaborative mindset, with a proven ability to work effectively within a cross-functional team.
• A bachelor’s degree in Computer Science, Software Engineering, or a related field will be a plus.

Job responsibilities

GlobalLogic team has been involved for many years into development, deployment and support of many different areas of the solution. We are now looking for a talented Nodejs Developer who will join our fast growing team, help us to extend the capabilities of our existing products and build new

Some of your responsibilities will include

• Close cooperation with Client R&D team to match requirements, coordinate with co-developers and manager, send regular updates – your communications skills will be very important;
• Drive the architectural design and evolution of the platform, ensuring scalability, security, performance, and maintainability;
• Lead a team of five professionals, ensuring effective collaboration, clear accountability, and timely delivery of project objectives in alignment with established quality and performance standards.
• Proactively identify technical challenges and propose innovative solutions. Troubleshoot and resolve complex issues in a timely manner, ensuring the stability and reliability of the platform;
• Developing both personal expertise and team capabilities in the GenAI space.