Lead Software Engineer - Java, Microservices, Rest API, SQL, Designing Pattern, Kafka/RabbitMQ
Blue YonderMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessKnown enterprise, metro locations, and broad cloud-microservices requirements yield moderate competition.
Strong emphasis on cloud-native backend, event-driven, and data-platform skills makes cross-industry fit limited.
Explicit 8–10 years plus required Java, microservices, cloud, and data platform expertise increases filter strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Lead architecture, design, and development of a cloud-native, event-driven Supply Chain Data Platform using scalable microservices.
Collaborate cross-functionally with product management and global engineering to deliver secure, high-quality software solutions.
Drive engineering excellence through code and architecture reviews, performance tuning, mentoring, incident resolution, and CI/CD improvements.
Minimum Requirements
8 to 10 years of hands-on experience with Java, Spring Boot, Microservices, REST APIs, OAuth, Kafka, Snowflake, and cloud application development on Microsoft Azure or similar platforms.
Proven design and development experience of multi-tenant SaaS platforms using microservices, Kubernetes, Docker, and DevOps practices.
Experience with Big Data and distributed technologies (Snowflake, Spark, Scala, Elasticsearch, NoSQL/RDBMS) including performance tuning and high availability.
Work Experience Required: 8 to 10 years
Ideal Candidate Profile
Strong technical leader skilled in software architecture, secure coding, mentoring, and driving continuous improvement within engineering teams.
Experienced in collaborating with diverse stakeholders and agile teams to translate business requirements into technical solutions.
Comfortable handling operational responsibility including incident management and platform reliability improvements in a complex cloud environment.
