Full Stack & AI Support EngineerCompany: LTIMindtree

Location: PAN India

Experience: 8+ Years

Notice Period: 15 Days

Primary Skills: Java, Microservices, GCP, GKE, Google ADK Agents, Architecture

Role SummaryWe are looking for an experienced Full Stack & AI Support Engineer who can lead L2/L3 application support and engineering activities.

The candidate will act as a primary customer-facing technical lead responsible for incident management, release coordination, stakeholder communication, RCA leadership, application stability and continuous improvement initiatives.

The role requires strong expertise in Java Microservices, Spring Boot, GCP, GKE, Kubernetes and AI-enabled application support, along with the ability to drive technical governance and coordinate with offshore teams for 24x7 operational support.

Mandatory SkillsFull Stack & Backend

- Full Stack Development
- Strong Java expertise
- Spring Boot Microservices
- REST API design and troubleshooting
- Redis
- Distributed application architecture
- API integrations and orchestration patterns

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
- GCP Cloud Build

AI Application Support
- AI-enabled application support
- Google ADK Agents
- Gemini API integrations
- RAG-based application architectures




- AI service consumption and troubleshooting
- Understanding of prompt execution flows

AMS / Production Support
- L2/L3 Support
- Incident Management
- Problem Management
- Root Cause Analysis (RCA)
- Release Management
- Change Management
- Service Request Fulfilment
- SLA Management
- Production Support

Architecture
- Java Microservices Architecture
- Distributed application architecture
- API integration and orchestration
- Ability to troubleshoot complex production issues

Leadership Responsibilities
- Customer-facing technical leadership
- Technical governance
- KT management
- Offshore coordination
- Executive communication
- Risk and escalation management

Valuable to Have Skills
- Dataflow
- Healthcare / Life Sciences domain experience
- DevOps and CI/CD tools
- AI-led operations and automation

Key Responsibilities
- Serve as the overall technical lead for application support.
- Lead P1/P2 incident bridges and critical production escalations.
- Drive RCA reviews and preventive actions.
- Coordinate releases, deployments and post-production validations.
- Guide offshore support engineers and cloud engineers.
- Participate in governance reviews, service reporting and client leadership meetings.
- Support minor enhancements and continuous improvement initiatives.
- Own transition, KT validation and operational readiness activities.
- Ensure application stability and adherence to SLA requirements.

📌 Sr Full Stack & AI Support Engineer (Hyderabad)
🏢 CSbusinesmgmt.in
📍 Hyderabad