Description
#LI-VK1
Requirements
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 GCP) 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 GCP) 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
Job responsibilities
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
GlobalLogic estimates the starting pay range for this role to be performed in the US is $140,000 to $150,000 and reflects base salary only. This pay range is provided as a good faith estimate and the amount offered may be higher or lower. GlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.
What we offer
