Java Developer / Senior Java Developer - Ai, Remote in India, India
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India, India
Java Developer / Senior Java Developer - Ai, Remote in India, India is listed on Jobeax. Browse 30,000+ vacancies available.
Job Description: Senior Java Engineer / Java Technical Lead (Remote Working) Experience: 7 plus years (Relevant Experience) Notice Period: Immediate till 30 days
We are seeking a highly skilled Senior Java Engineer / Technical Lead to design, develop, and support scalable, cloud-native applications using Java, Spring Boot, Microservices, GraphQL, and GCP for one of our Fortune 10 Retail Client. The ideal candidate will have strong expertise in distributed systems, event-driven architecture, observability, and modern DevOps practices.
Key Responsibilities: Design and develop scalable, high-performance microservices using Java, Spring Boot, Spring MVC, REST, and GraphQL . Build and deploy cloud-native applications on Google Cloud Platform (GCP) using Docker and Kubernetes . Design and manage distributed data solutions using Cassandra and other SQL/NoSQL databases. Develop event-driven architectures and real-time data pipelines using Kafka, Pub/Sub , and CDC frameworks. Implement resiliency patterns including circuit breakers, retries, rate limiting, and service discovery. Use AI assisted dev tools to speed up development. Drive CI/CD automation and DevOps best practices throughout the SDLC. Troubleshoot, optimize, and enhance application performance, scalability, and reliability. Implement and maintain observability solutions, including logging, monitoring, metrics, alerting, and distributed tracing. Collaborate with product, architecture, and cross-functional teams to deliver business-critical solutions. Mentor engineers and contribute to architecture reviews, technical standards, and engineering excellence.
Required Qualifications:
Bachelor's degree in Computer Science, Engineering, or related discipline.
7+ years of hands-on experience in Java, Spring Boot, and Microservices architecture .
Strong experience with GraphQL, Cassandra, Kafka/Pub-Sub, Docker, Kubernetes, and GCP .
Hands-on experience with observability and monitoring frameworks in any of: OpenTelemetry, Micrometer, Prometheus, Grafana, Datadog, and Splunk,
Distributed tracing tools such as Jaeger and Zipkin
Strong understanding of distributed systems, cloud-native architectures, CI/CD pipelines, and secure coding practices.
Experience with automated testing, Agile methodologies, and production support.
Experience using AI based Developer enablement tools.
Preferred Qualifications: Experience with SRE practices, Domain-Driven Design (DDD), and cloud cost optimization. GCP and Kubernetes certifications are a plus.
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