Employer description & source details
Build Cloud-Native Microservices: Architect, code, and deploy fast, resilient microservices using Java (17/21) and Spring Boot on Google Cloud Run and GKE. Handle Real-Time Data & Messaging: Design event-driven streaming pipelines using GCP Pub/Sub , Apache Kafka , and Change Data Capture ( CDC / Datastream ) to move database changes instantly. API Governance & Schema Management: Design REST APIs ( Apigee X ) and enforce strict data contracts ( Avro, Protobuf, JSON Schema ). Technical Leadership: Conduct code reviews (PRs) for internal teams and vendors, establish integration templates, maintain high testing standards (TDD), and set up monitoring/tracing. Core Focus: Building high-speed, real-time cloud data pipelines and microservices on Google Cloud Platform (GCP) to connect core business systems (Supply Chain, Warehouse Management, Data Lakehouse). Experience: 12+ years in backend software engineering with a strong focus on enterprise integration and event-driven architecture. Java & Frameworks: Expert in Java (11/17/21) and Spring Boot. Cloud: Hands-on GCP experience (Cloud Run, Pub/Sub, BigQuery, GCS, Secret Manager). Streaming & Databases: GCP Pub/Sub or Apache Kafka, deep SQL, and CDC tools (Datastream, Debezium, or GoldenGate). Data Contracts: Avro, Protobuf, or JSON Schema. DevOps & Testing: Docker, Git, CI/CD pipelines, JUnit 5, Mockito, and Testcontainers. Education: Bachelor’s or Master’s in Computer Science or related field. GCP Certifications (Professional Cloud Architect, Developer, or Data Engineer) (nice to have) Experience with Quarkus , Apigee X , or Terraform .(nice to have) Background in Supply Chain, Wholesale Distribution, or Logistics .(nice to have) Prior integration experience with Manhattan Active WMS , o9 Solutions , Oracle EBS , or Syndigo .
Extracted skills: java, sql, gcp, docker, terraform, artificial intelligence