Senior Java Engineer - Real-Time Cloud Data Pipelines

Digitailor

United States

On-site

USD 150,000 - 230,000

Full time

3 days ago
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Job summary

66degrees is seeking a Senior Software Engineer (EIP) to build high-speed real-time cloud integration pipelines and Java microservices on Google Cloud Platform. You will connect core databases to modern supply chain platforms and the Cloud Data Lakehouse, scaling across Cloud Run and GKE with Pub/Sub and Kafka.

You should have 12+ years in backend engineering, deep GCP, Java, and event-driven architectures, and be comfortable with API governance, data contracts, and leading code reviews.

Qualifications

  • 12+ years in backend software engineering with a focus on enterprise integration and event-driven architecture.

Responsibilities

  • Build Cloud-Native Microservices: Architect, code, and deploy fast, resilient microservices using Java (11/17/21) 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 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).

Skills

Java
Spring Boot
GCP
Event-driven architecture
Backend engineering
API governance

Education

Bachelor’s or Master’s in Computer Science

Tools

Cloud Run
GKE
Pub/Sub
Apache Kafka
Datastream
Debezium
GoldenGate

Job description

66degrees is seeking a Senior Software Engineer (EIP) to build high-speed real-time cloud integration pipelines and Java microservices on Google Cloud Platform. You will connect core databases to modern supply chain platforms and the Cloud Data Lakehouse, scaling across Cloud Run and GKE with Pub/Sub and Kafka.

You should have 12+ years in backend engineering, deep GCP, Java, and event-driven architectures, and be comfortable with API governance, data contracts, and leading code reviews.

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