Description

• Lead design and implementation of high-throughput distributed systems using Java and Spring Boot
• Own end-to-end technical architecture for cross-team initiatives (provisioning, billing, network, customer/agent facing apps)
• Architect event-driven systems using Apache Kafka for real-time streaming and integration
• Evaluate and integrate AI/ML tools into engineering workflows and developer productivity
• Establish engineering standards, lead design reviews, and mentor senior engineers
• Partner with product and architecture teams to translate business needs into scalable solutions
• Lead production incident response, root cause analysis, and systemic improvements
• Hands-on coding as needed to deliver technical and business features.

Required Skills:

• 10+ years overall and 8+ years hands-on with Java (11+) and Spring Boot
• Deep Oracle expertise — PL/SQL, performance tuning, query optimization, data modeling
• Strong Kafka experience — producers, consumers, Kafka Streams, schema registry
• Proven delivery of large-scale distributed systems in production
• RESTful API design, microservices patterns, CI/CD, Docker/Kubernetes
• AI literacy — ability to evaluate AI tools and apply them to engineering problems
• Influence-based technical leadership across teams

Nice to Have

• Telecom, network/mobile provisioning, or billing systems experience
• MNO or MVNO experience
• AI/ML platforms

Key Skills

Education

Bachelor's degree