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Associate Software Engineering Manager
Bengaluru, Karnataka
2 months ago
💻 Open SourceExplicitly requires vibe coding skills and uses GenAI tools (Copilot, Claude, Gemini) for prototyping and AI-augmented development.
About the Role
Lead and manage a backend engineering team focused on designing, developing, and maintaining scalable microservices and data processing pipelines using Java, Spring Boot, React, and AWS while integrating GenAI tools and AI-augmented development practices to improve productivity and delivery.
Job Description
Role
Associate Software Engineering Manager responsible for designing, developing, and maintaining backend services and microservices, optimizing large-scale data processing, and collaborating with cross-functional teams to deliver secure, scalable, high-performance solutions.
Key Responsibilities
- Design, develop, and maintain backend services using React, Core Java, and Spring Boot.
- Build and optimize Spring Batch jobs for large-scale data processing.
- Develop and maintain microservices with REST APIs and messaging patterns.
- Troubleshoot production issues and provide timely resolutions.
- Write clean, reusable, and well-documented code; participate in code reviews and design discussions.
- Work closely with DevOps, QA, and Product teams to deliver high-quality solutions.
- Implement secure, scalable, and high-performing backend components.
AI Builder Responsibilities
- Use GenAI tools (Copilot, Claude, Gemini AI) to ideate, prototype, and implement features.
- Apply vibe coding techniques to maintain expressive, AI-augmented codebases.
- Develop internal tools and scripts using AI to automate repetitive tasks and improve productivity.
- Stay current with emerging GenAI trends, tools, and ethical considerations.
Requirements
- Graduate degree or equivalent experience.
- Primary skills: Java (Core Java), React, UI automation testing, Spring Boot, Kafka, rules and data analysis.
- Database: MongoDB, MySQL.
- AI: experience integrating AI into backend services and POC experience with real-world examples.
- Build tools and cloud: Git Actions, AWS (cloud developer experience) and understanding of API Gateway.
- Knowledge of Git, CI/CD pipelines, and containerization (Docker, Kubernetes).
Notes
- Role emphasizes both traditional backend engineering (microservices, batch processing, databases) and modern AI-augmented development practices.