Full stack support GCP (Application Support)

LTM; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

LTM in Hyderabad seeks an experienced Full Stack and Cloud Platform specialist to support applications across Java, Spring Boot, REST APIs, and AI-enabled services. The role covers incident bridges, RCA preparation, and production deployment support in a fast-paced environment.

You will work on GCP, GKE, Kubernetes, Pub/Sub, Apigee, and data tooling, with emphasis on scalable integrations, monitoring, and proactive improvements.

Qualifications

• Experience in full stack development and cloud platforms.
• Ability to support AI-enabled applications and AI service troubleshooting.
• Proven incident, RCA, and production support experience.

Responsibilities

• Support P1 P2 incident bridges and critical production escalations.
• Drive RCA reviews and preventive actions.
• Support releases deployments and postproduction validations.
• Support minor enhancements and continuous improvement initiatives

Skills

Java

Spring Boot Microservices

REST API design

Redis

API integrations

Kubernetes concepts

GCP

GKE

Pub Sub

Apigee API Gateway

Alloy DB

Scheduler and Workflow concepts

Tools

GKE

Pub/Sub

Cloud Monitoring & Logging

Apigee API Gateway

Alloy DB

Dataflow

DevOps CI/CD tools

AI-led operations tools

Job description

Greetings

We have urgent opening for below skill :

Full stack support GCP (Application Support)

Experince-5 to 15 years

Location: Hyderabad

Full Stack Development:

1. Java
2. Spring Boot Microservices
3. REST API design and troubleshooting
4. Redis
5. API integrations and orchestration patterns

Cloud Platform

1. Google Cloud Platform GCP
2. GKE Google Kubernetes Engine
3. Kubernetes concepts and troubleshooting
4. Pub Sub
5. Cloud Monitoring Logging
6. Apigee API Gateway
7. Alloy DB
8. Scheduler and Workflow concepts

AI Application Support

1. AI enabled application support
2. Google ADK Agents
3. Gemini API integrations
4. RAG based application
5. AI service consumption and troubleshooting
6. Prompt execution flow understanding

AMS Production Support

1. L2L3 Support
2. Incident Management
3. Problem Management
4. Root Cause Analysis RCA
5. Service Request Fulfilment
6. Production Support

Good to Have Skills

1. Dataflow
2. Healthcare Life Sciences domain experience
3. DevOps CICD tools
4. AIled operations tools and automation

Key Responsibilities

• Support P1 P2 incident bridges and critical production escalations.
• Drive RCA reviews and preventive actions.
• Support releases deployments and postproduction validations.

Support minor enhancements and continuous improvement initiatives