Software Engineer III

We are seeking a high-performing Software Engineer to drive critical platform, scalability, and AI-enablement initiatives across Byte Coach and related systems. In this role, you will operate with strong autonomy and technical ownership, leading complex initiatives that directly support Byte Coach’s strategic priorities: Scalable Brand Autonomy Platform Modernization on Byte OS AI-Powered Coaching & Collective Intelligence Operational Simplification & UX Improvements Reliability & Performance Enhancements. You will own significant technical domains, influence cross-team design decisions, and deliver measurable platform and business outcomes at scale (33k+ restaurants globally). Project Contribution: Work on assignments of moderate scope and complexity. Analyze and expand on situations with multiple factors, breaking issues into logical steps and solving problems primarily using existing processes. Design secure, highly available backend systems that reliably integrate AI services with scalable and auditable context management. Work closely with product and AI teams to embed intelligence into operational workflows. Leverage native APIs and frameworks for integrations. Identify and resolve performance bottlenecks and bugs. Maintain code integrity through testing and documentation. Collaboration & Communication: Build strong internal working relationships. Interact primarily with supervisor, project lead, or other professionals in the same or related disciplines. Clearly and effectively communicate and explain facts, policies, and practices. Decisions typically affect the immediate team. Core Skills: Strong expertise in Java (OOP, concurrency, collections, transaction management). Proficiency with Spring Boot, Spring Data, Dependency Injection. Experience designing and scaling RESTful microservices. Knowledge of API security (OAuth, Cognito, token-based auth, RBAC). Experience with event-driven architecture (Kafka, SQS). Strong SQL and NoSQL database experience. Experience diagnosing and resolving production issues. Experience integrating AI-driven services into backend workflows. Exposure to conversational systems or recommendation engines. Experience supporting large-scale multi-tenant platforms. Proficient in Git for version control and team collaboration. Experience working in Agile environments, participating in sprints, and collaborating with cross-functional teams. Preferred Skills Familiarity with JavaScript/TypeScript (ES6+). Experience with CI/CD tools such as Jenkins, CircleCI, and Harness. Hands-on experience with AWS services (EC2, EKS, S3, RDS, Lambda). Knowledge of Kubernetes for container orchestration, scaling, and deployment. Experience with monitoring and logging tools like DataDog.