Full Stack & AI Support Lead (L2/L3 Application Support & Engineering)

Neev; Mumbai; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Neev in Mumbai, India, is hiring a Full Stack & AI Support Lead to own L2/L3 application support for the BidIQ, Guidance Engine, and EnablerSwitch. You will act as a customer-facing technical lead ensuring 24x7 reliability from offshore teams.

You will drive incident bridges, RCA reviews, releases, and governance with cross-functional partners in the US and India, while mentoring cloud engineers and leading service improvements.

Qualifications

• 8+ years of experience in full stack development and application support.
• Experience leading P1/P2 incidents and RCA.
• Strong knowledge of Java, Spring Boot, microservices.
• Experience with cloud platforms, especially GCP, including Kubernetes.
• Experience with AI-enabled applications and Gemini integrations.
• Excellent stakeholder communication and leadership.

Responsibilities

• Lead L2/L3 support for critical platforms and incidents.
• Coordinate releases and post-production validations.
• Guide offshore cloud engineers and governance reviews.
• Drive continuous improvement and KT transitions.

Skills

Java & Spring Boot Microservices

REST API design

Redis & distributed architecture

API integrations & orchestration

GCP & DevOps

Kubernetes

AI-enabled support

Incident & RCA leadership

Tools

GCP

GKE

Apigee

AlloyDB

Pub/Sub

Cloud Build

Scheduler

Workflow

Job description

Job Description: Full Stack & AI Support Lead (L2/L3 Application Support & Engineering)

Location: US Onsite / India Offshore

Experience Required: 8+ Years

Role Summary

We are seeking an experienced and dynamic Full Stack & AI Support Lead to spearhead L2/L3 application support and engineering activities for critical platforms, including the BidIQ Pricing Engine, Guidance Engine, and EnablerSwitch support. Acting as the primary customer-facing technical lead, you will take ownership of incident management, release coordination, stakeholder communication, Root Cause Analysis (RCA) leadership, application stability, and continuous improvement initiatives. You will also oversee technical governance and collaborate seamlessly with offshore teams to guarantee robust, 24x7 operational support.

Key Responsibilities

• Technical Leadership & Operations: Serve as the overall technical lead for key pricing and guidance engines, leading P1/P2 incident bridges and critical production escalations.
• Problem & Release Management: Drive comprehensive RCA reviews, implement preventive actions, and coordinate releases, deployments, and post-production validations.
• Team Collaboration & Governance: Guide offshore support and cloud engineers, participate in governance reviews, service reporting, and client leadership meetings.
• Continuous Improvement: Support minor enhancements, own transition Knowledge Transfer (KT) validation, and drive operational readiness activities.

Mandatory Skills

• Full Stack Development:
  • Java & Spring Boot Microservices
  • REST API design and troubleshooting
  • Redis & Distributed application architecture
  • API integrations and orchestration patterns
• Cloud Platform (GCP & DevOps):
  • Google Cloud Platform (GCP), GCP Cloud Build, and GKE (Google Kubernetes Engine)
  • 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 and service consumption troubleshooting
  • Google ADK Agents & Gemini API integrations
  • RAG-based application architectures
  • Prompt execution flow understanding
• AMS Production Support:
  • L2/L3 Support, Incident & Problem Management
  • Root Cause Analysis (RCA) & Service Request Fulfillment
  • Release Management, Change Management, & SLA Management
• Leadership & Communication:
  • Customer-facing leadership and executive communication
  • Technical governance, KT management, and offshore coordination
  • Risk and escalation management

Good-to-Have Skills

• Dataflow
• Healthcare & Life Sciences domain experience
• DevOps CI/CD tools
• AI-led operations tools and automation

Skills: google,rca,api,cloud,stack,application