Engineering Manager

Engineering Leadership

• Lead, mentor, and grow a team of backend and frontend engineers. • Drive engineering best practices across coding standards, code reviews, testing, and deployment pipelines. • Own the end-to-end delivery of engineering projects, ensuring timelines, quality, and performance. • Provide technical guidance and career mentorship to engineers across experience levels.

AI-Driven Development

• Promote the use of AI coding assistants such as GitHub Copilot, Cursor, Claude, and ChatGPT to improve development velocity. • Establish AI-assisted workflows for code generation, refactoring, testing, and debugging. • Encourage automation-first development practices to streamline engineering operations. Architecture & System Design • Design and architect scalable distributed systems using Java/Spring Boot. • Lead development of modern front-end applications using React.js and component-based architectures. • Ensure systems are built with high availability, scalability, and performance optimization in mind. • Drive adoption of microservices architecture and cloud-native design patterns.

Cross-Functional Collaboration

• Collaborate closely with Product, Data, DevOps, and Business teams to translate business requirements into technical solutions. • Participate in engineering roadmap planning, architecture discussions, and strategic technical decisions. • Manage execution across multiple engineering initiatives simultaneously.

Engineering Excellence

• Implement best practices for observability, logging, monitoring, and performance optimization. • Improve development productivity through automation, tooling, and CI/CD practices. • Foster a culture of ownership, innovation, collaboration, and continuous improvement.

QUALIFICATION & SKILL-SET

• Bachelor's or Master's degree in Computer Science, Engineering, or related field. • 8+ years of software engineering experience, with 2–4 years of experience leading engineering teams. • Strong backend development experience using Java and Spring Boot ecosystem. • Strong front-end development experience with React.js and modern JavaScript frameworks. • Solid experience designing distributed systems and microservices architectures. • Hands-on experience with cloud platforms (AWS, Azure, or GCP). • Experience with RESTful APIs, system scalability, and performance optimization. • Experience with CI/CD pipelines, Git workflows, and DevOps practices. • Strong understanding of data structures, system design, and software engineering best practices. • Excellent communication, collaboration, and leadership skills.

AI Development Experience

Candidates should have hands-on experience using AI-assisted development tools, including: • AI coding assistants such as GitHub Copilot, Cursor, Claude, ChatGPT, etc. • Using AI tools for code generation, refactoring, debugging, and documentation. • AI-assisted test generation and automated code review workflows.