Design, develop, and lead Java Spring Boot–based microservices supporting Ericsson Adaptive Inventory (EAI).
Own inventory service design, including resource, service, and relationship modeling aligned with EAI standards.
Develop and maintain RESTful APIs and integration services for OSS/BSS and upstream/downstream systems.
Implement scalable and resilient architectures using microservices, asynchronous messaging, and event-driven patterns.
Support inventory data ingestion, reconciliation, synchronization, and lifecycle management.
Collaborate closely with architects, product owners, network teams, and external vendors.
Ensure high code quality through design reviews, code reviews, automated testing, and CI/CD practices.
Lead production support activities, perform root cause analysis (RCA), and drive performance and stability improvements.
Mentor junior engineers and provide technical guidance across teams.
Requirements
Minimum 10+ years of relevant experience in enterprise Java application development
10+ years of hands-on experience in Core Java and enterprise backend development
Strong expertise in:
o Java 8+
o Spring Boot, Spring MVC, Spring Data
o Microservices architecture
Strong understanding of:
o Distributed systems design
o API design and versioning
o Scalability, resiliency, and fault tolerance patterns
Solid experience with relational databases (Oracle / PostgreSQL / MySQL).
Experience with CI/CD pipelines and build tools (Maven/Gradle, Jenkins, Git).
Hands-on exposure to Ericsson Adaptive Inventory (EAI), including:
o Network / resource inventory concepts
o Logical and physical resource modeling
o Entity relationships and hierarchies
o Inventory lifecycle management
Experience integrating EAI with:
o Fulfilment / Assurance systems
o Network discovery or reconciliation flows
Understanding of telecom inventory domains such as transport, IP, access, and logical services is a strong plus.
Bachelor’s / Master’s degree in Engineering or equivalent experience.
Proven experience leading technical modules or teams in large enterprise programs