Location: Remote in the USA
Pay Rate: $60-$65/hr.
Key Skills: Java, microservices/Spring Boot, Google Cloud Platform, DataFlow, and Splunk.
Note: This is a hands-on role as a Java Architect rather than a Google Cloud Platform Architect. Candidate will be involved in hands-on coding in Java on a daily basis and needs to have experience in Google Cloud Platform, Splunk and Dataflow.
Job Description
Required Qualifications:
10+ years of professional experience in Java development with focus on large-scale/high-data-volume distributed systems
Strong experience with Spring Boot framework , Cloud services (preferably Google Cloud Platform) for building cloud-native microservices architectures
Hands-on experience with Apache Beam and stream processing frameworks (Dataflow, Flink, or Spark Streaming)
Hands-on/Production experience with Google Pub/Sub, Google Cloud Spanner, Redis or other messaging and database systems
Technical Skills:
Proficiency in Java 17+ and related technologies with good understanding of modern Java features, concurrency, and performance optimization
Deep understanding of microservices architecture, RESTful APIs, and cloud-native design patterns.
Apache Beam SDK for building batch and streaming data pipelines
Experience with containerization technologies such as Docker and Kubernetes.
Experience with Cloud (Preferably Google Cloud Platform) with exposure to services like Google Pub/Sub, Google Cloud Spanner, Google Cloud Dataflow, Google Cloud Storage
Experience with event-driven architectures and stream processing patterns
Understanding of distributed systems challenges (consistency, partitioning, fault tolerance)
Knowledge of CI/CD pipelines and tools like Jenkins, GitLab, or equivalent.
Experience with observability tools like grafana/dynatrace/Cloud Logging (Any Cloud)
Experience with performance optimization for high-throughput systems
Soft Skills:
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration abilities.
Ability to work independently as well as in a team-oriented environment.
Strong code review skills and commitment to code quality.
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