Lead Software Engineer

EchoStar•Denver, CO

9d•Onsite

About The Position

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.

Requirements

Exceptional ability to articulate complex technical concepts and strategies to both engineering teams and non-technical stakeholders through clear, persuasive communication
Strong 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
Bachelor's Degree in Computer Science or a related field
4+ years of experience in the development and implementation of enterprise-wide Java-based solutions
4+ years of experience with Microservices architecture
Experience with Java Technologies (Java, J2EE, Spring Boot, Spring Cloud)
Experience with Real-time streaming and orchestration (Kafka, AWS Step Functions)
Experience with Distributed systems and cloud platforms (AWS, OCI, or Azure)

Responsibilities

Design and champion the technical architecture for AI-powered products, ensuring top-tier scalability, reliability, and security across the order orchestration platform
Influence the technical vision and roadmap by balancing immediate product requirements with long-term infrastructure investments and architectural health
Contribute to engineering best practices for code quality, design patterns, and automated CI/CD pipelines to ensure high-performance deployment
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