Technical Requirements

Core Java: Deep expertise in Java 21+ and a mastery of the Spring Boot 3.x+ ecosystem.

Microservices Architecture: Proven experience building decoupled, event-driven services (experience with Google Pubsub, Kafka, or similar is a plus).

API Mastery: Strong experience with RESTful API design, OAuth2 security, and working with complex vendor APIs (Webhooks, JSON/XML payloads).

Data Layer: Proficiency in SQL (PostgreSQL/Oracle) with a focus on schema optimization.

Cloud & DevOps: Familiarity with Git, Docker, Kubernetes, and CI/CD pipelines.

Excellent analytical and problem-solving abilities.

Strong communication and teamwork skills.

Preferred Qualifications

Bachelors or Masters degree in Computer Science, Engineering, or a related field.

5-7+ years of professional experience in backend software development, with a strong focus on microservices.

Prior experience in PIM (Akeneo), DAM (AEM Assets), or Studio Operations software is a major advantage.

As a Service Engineer for Studio Operations Platform Implementation, you will build the high-performance bridges connecting global product data (Akeneo) to our studio engine (Creative Force) and enterprise DAM. We are looking for "AI-First" developers engineers who utilize up-to-date AI tools (Cursor, Qodo, Gemini) to accelerate development, automate documentation, and ensure rigorous code quality. Your mission is to establish the Golden Thread of metadata with 10x the efficiency of traditional development workflows.

Key Responsibilities





AI-Accelerated Development: Utilize AI-integrated IDEs (e.g., Cursor) and LLMs to rapidly prototype, generate boilerplate, and refactor Java/Spring Boot microservices.

Integration Development: Design, develop, and deploy robust Java/Spring Boot microservices that facilitate real-time data exchange between Akeneo (PIM), Creative Force, and AEM (DAM).

API Orchestration: Build and maintain RESTful and GraphQL APIs to handle high-volume product deltas, ensuring data integrity across the "Golden Thread."

Custom Feature Engineering: Develop "missing features" within our middleware layer such as custom metadata transformation logic, automated rights management triggers, and enhanced reporting bridges.

Automated Quality & Review: Use AI tools to generate comprehensive unit tests, perform initial code reviews for security vulnerabilities, and ensure adherence to AEO s coding standards.

Self-Documenting Architecture: Leverage AI to maintain live, high-quality documentation (ReadMe, Javadoc, API Specs) as the codebase evolves, ensuring the system is never a "black box.

Technical Governance: Collaborate with SRE and DevOps teams to ensure your services are highly available, scalable, and monitored via proactive ing.

Location: Hyderabad

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Service Engineer (Integrations & Backend) (Tamil Nadu)
🏢 Bahwan Cybertek
📍 Tamil Nadu