orm systems, with emphasis on reliability, performance, and operational excellence
- Balance hands-on technical contributions in system design and implementation while effectively managing team growth, performance, and professional development
- Provide strategic technical direction and architectural guidance to strengthen engineering practices, mentor team members, and drive technical excellence across collaborative projects
- Build and maintain strong partnerships across engineering teams, business units, and external stakeholders to align technical initiatives with organizational goals and drive successful outcomes
- Champion innovation within the team by evaluating emerging technologies, implementing modern engineering practices, and driving continuous improvements to the AI Platform infrastructure
Qualifications
Minimum Qualifications
- Bachelor's degree in Computer Science or a related technical field involving software/system engineering, or equivalent working experience
- Solid foundation in software engineering principles, algorithms, and data structures
- Deep understanding of Linux systems, distributed storage architectures, networking fundamentals, and system performance optimization
- Proficiency in at least one modern programming language (Python, Go, or Java), experienced in applying software design patterns and clean code principles in production environments
- Demonstrated ability to lead technical teams through complex projects and changing priorities
Preferred Qualifications
- 5+ years of relevant software engineering experience, including team leadership
- Extensive hands-on experience with distributed storage technologies (KV stores, Redis, MySQL, MongoDB)
- Strong background in message queuing systems (Kafka, RabbitMQ) and data processing frameworks
- Production experience with container orchestration (Kubernetes), microservices architecture, and cloud-native technologies
- Demonstrated track record of building and operating large-scale distributed systems