Job Title- GCP Full Stack Java Engineer

Total Exp - 5 - 15 Years

Location- Pune, Mumbai, Chennai, Hyderabad, Bangalore, Noida, Kolkata

Notice Period - Immediate Joiners to 30 Days Only

Mode- Hybrid

We are looking for an experienced Full Stack Engineer / AI Application Support Engineer with strong hands-on experience in Java, Spring Boot, Microservices, React, GCP, Kubernetes, and AI-enabled application support. The candidate will be responsible for performing L2/L3 application support, production support, troubleshooting, incident management, and engineering activities for cloud-native and AI-enabled applications.

Key Responsibilities

Perform L2/L3 application support and engineering activities for production applications.

Support P1/P2 incident bridges and handle critical production escalations.

Troubleshoot Java, Spring Boot, Microservices, REST APIs, and application-level issues.

Design, troubleshoot, and support REST APIs and API integrations.

Work with Redis and API orchestration/integration patterns.

Support applications deployed on Google Cloud Platform (GCP).

Troubleshoot Kubernetes workloads and applications running on Google Kubernetes Engine (GKE).

Work with Pub/Sub, Cloud Monitoring, Cloud Logging, Apigee API Gateway, AlloyDB, Scheduler, and Workflow concepts.

Support AI-enabled applications and troubleshoot AI service consumption issues.

Support Google ADK Agents and Gemini API integrations.

Troubleshoot and support RAG-based applications and understand prompt execution flows.

Perform incident management, problem management, service request fulfilment, and production support activities.

Drive root-cause analysis (RCA) reviews and implement preventive and corrective actions.

Support application releases, deployments, and post-production validations.

Support minor enhancements, continuous improvement initiatives, and production engineering activities.

Collaborate with development, DevOps, cloud,



infrastructure, and other technical teams to resolve production issues.

Contribute to AI-led operations, automation, and operational efficiency initiatives where applicable.

Mandatory Skills

5–15 years of overall experience in Full Stack Development and Application Support

Strong hands-on experience in Java

Strong hands-on experience in Spring Boot and Microservices

Strong understanding of REST API design, integration, troubleshooting, and orchestration patterns

Experience with React and Full Stack Development

Good hands-on experience with Redis

Strong experience with Google Cloud Platform (GCP)

Hands-on experience with Google Kubernetes Engine (GKE) and Kubernetes concepts

Experience with Pub/Sub

Experience with Cloud Monitoring and Cloud Logging

Experience with Apigee API Gateway

Knowledge of AlloyDB

Understanding of Scheduler and Workflow concepts

Experience in AI-enabled application support and troubleshooting

Experience with Google ADK Agents

Experience with Gemini API integrations

Experience in supporting RAG-based applications

Understanding of AI service consumption and troubleshooting

Understanding of prompt execution flow

Strong experience in L2/L3 application support and production support

Experience in Incident Management, Problem Management, RCA, and Service Request Fulfilment

Strong troubleshooting and analytical skills

Experience in supporting P1/P2 incidents and critical production escalations

Valuable to Have

Experience with Dataflow

Experience in Healthcare/Life Sciences domain

Experience with DevOps and CI/CD tools

Exposure to AI-led operations tools and automation

Experience with cloud-native application support and automation

Knowledge of additional GCP services and cloud monitoring tools

Exposure to AI/GenAI-based application operations and support

Education

Bachelor’s/Master’s degree in Computer Science, Information Technology, Engineering, or a related field

📌 GCP Full Stack Java Engineer (India)
🏢 Harp
📍 India