Live opening · Posted 11 days ago
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Full Stack Engineer / AI Support Engineer – Java + GCP
Experience: 12+ Years
Location: Pan India – Hybrid
Primary Skills: Java, Microservices, GCP, GKE, Google ADK Agents
Are you interested in working on a 24×7 support project?
Are you ready to provide on-call support during IST evenings and weekends?
Do you have hands-on experience in Java, Microservices, and GCP (GKE, Google ADK Agents)?
IF yes , Apply for this role
Role Summary
We are looking for an experienced Full Stack Engineer / AI Support Engineer to perform L2/L3 application support, production engineering, troubleshooting, and continuous improvement activities for enterprise applications running on Google Cloud Platform.
The role requires strong expertise in Java and Spring Boot Microservices, GCP/Kubernetes, API integrations, and AI-enabled applications, including Google ADK Agents and Gemini API integrations.
Mandatory Skills
Full Stack Development
Java
Spring Boot Microservices
REST API design, development, and troubleshooting
Redis
API integrations and orchestration patterns
Google Cloud Platform
Google Cloud Platform (GCP)
Google Kubernetes Engine (GKE)
Kubernetes concepts and troubleshooting
Pub/Sub
Cloud Monitoring and Logging
Apigee API Gateway
AlloyDB
Scheduler and Workflow concepts
AI Application Support
AI-enabled application support
Google ADK Agents
Gemini API integrations
RAG-based applications
AI service consumption and troubleshooting
Understanding of prompt execution flow
AMS / Production Support
L2/L3 Application Support
Incident Management
Problem Management
Root Cause Analysis (RCA)
Service Request Fulfilment
Production Support
Release and deployment support
Good-to-Have Skills
Dataflow
Healthcare / Life Sciences domain experience
DevOps and CI/CD tools
AI-led operations tools and automation
Key Responsibilities
Support P1/P2 incident bridges and critical production escalations.
Perform L2/L3 troubleshooting and drive issues to resolution.
Lead and contribute to RCA reviews and preventive action plans.
Support application releases, deployments, and post-production validations.
Troubleshoot Java Microservices and REST APIs in production environments.
Monitor and troubleshoot GCP/GKE workloads, Kubernetes components, APIs, messaging, and cloud services.
Support AI-enabled applications, including Google ADK Agents, Gemini integrations, and RAG-based solutions.
Identify opportunities for automation and continuous improvement.
Support minor enhancements and production engineering activities.
Collaborate with development, DevOps, cloud, and business teams during critical incidents and releases.
Core Skills
GCP Fundamentals
Java
Java Microservices
Spring Boot
Microservices Architecture
GKE / Kubernetes
Google ADK Agents
Production / AMS Support
Experience: 12+ Years
Location: Pan India
Work Model: Hybrid
Support Model: 24×7 Production Support with IST evening/weekend on-call requirements
Interested candidates share your updated resume to joona@360.technology
Work arrangement
No
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