Lead Software Engineer

Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.

This role builds the next generation of order orchestration platforms for Boost Mobile, integrating artificial intelligence to manage complex system lifecycles. You will solve the challenge of bridging the gap between AI research and production-grade engineering to ensure reliable, high-scale performance in a fast-paced environment.

Success is defined by the technical vision and implementation of scalable AI-driven applications and the underlying infrastructure that supports them.

- Design and champion the technical architecture for AI-powered products, ensuring top-tier scalability, reliability, and security across the order orchestration platform

- Drive the technical vision and roadmap by balancing immediate product requirements with long-term infrastructure investments and architectural health

- Establish and enforce engineering best practices for code quality, design patterns, and automated CI/CD pipelines to ensure high-performance deployment

- Architect and build robust pipelines for AI model training, versioning, and monitoring to optimize latency and throughput in real-time production environments

- Proactively address technical debt and architectural risks by identifying and resolving performance bottlenecks in distributed microservices

- Mentor and develop engineering talent through a collaborative leadership style that empowers team members and promotes a culture of technical excellence

- Exceptional ability to articulate complex technical concepts and strategies to both engineering teams and non-technical stakeholders through clear, persuasive communication

- Expert proficiency in major programming languages such as Python, Go, or Java, combined with deep software engineering fundamentals and design patterns

- Critical experience in designing and implementing enterprise-wide solutions using distributed systems, microservices architecture, and cloud platforms like AWS or OCI

- Advanced knowledge of relational and NoSQL databases, including practical experience in system design and query optimization for high-volume, real-time data

- Deep understanding of real-time streaming technologies and complex orchestration systems, particularly in e-commerce, logistics, or high-scale transaction environments

- Advanced AI literacy and application expertise used to translate research-level AI innovations into production-scale engineering solutions

- Minimum Education: Bachelor's Degree in Computer Science or a related field

- Minimum Experience: 8+ years of experience in the development and implementation of enterprise-wide Java-based solutions; 5+ years of experience with Microservices architecture

- Real-time streaming and orchestration (Kafka, AWS Step Functions)

- Distributed systems and cloud platforms (AWS, OCI, or Azure)