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).

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 Data Dog.

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.