Technical Lead, Platform & Full-Stack Engineering
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Before you apply
LocationIndia-Karnataka-Bangalore
SeniorityLead
Experience12+ yrs
Company size10,000+ people
First seenOct 26, 2026 · 1w ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
12+ years in software development
Significant technical leadership experience
Full-stack expertise (modern front-end, Java/Python/Node.js, cloud platforms like AWS/Azure/GCP)
Deep experience with SSO/OAUTH
Deep experience with centralized authorization
Deep experience with Kong API Gateway
Deep experience with Azure Entra ID
Expertise in Docker
Expertise in Kubernetes
Expertise in CI/CD
Expertise in application/Kubernetes security
Demonstrated experience in AI Agent deployment and lifecycle management
Skills
Java
Python
Node.js
AWS
Azure
GCP
SSO
OAuth
Kong API Gateway
Azure Entra ID
Docker
Kubernetes
CI/CD
About the Role
We are looking for an experienced Technical Lead to drive the architecture, development, and operation of next-generation AI-enabled platforms and enterprise applications. This role combines deep full-stack engineering expertise with platform leadership, AI agent strategy, cloud-native technologies, identity management, and secure application delivery.
Key Responsibilities:
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Provide technical leadership and mentorship for full-stack development.
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Lead the strategy and implementation for AI Agent deployment, management, and scaling.
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Design and manage robust authentication (SSO, OAUTH) and centralized authorization, including Kong API Gateway.
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Oversee and enhance CI/CD, containerization (Docker), and Kubernetes orchestration for secure deployments.
•
Drive workspace provisioning and integration of “fabric knowledge” leveraging Azure Entra.
Required Qualifications:
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12+ years in software development, with significant technical leadership experience.
•
Proven full-stack expertise (modern front-end, Java/Python/Node.js, cloud platforms like AWS/Azure/GCP).
•
Deep experience with SSO/OAUTH, centralized authorization, Kong API Gateway, and Azure Entra ID.
•
Expertise in Docker, Kubernetes, CI/CD, and application/Kubernetes security.
•
Demonstrated experience in AI Agent deployment and lifecycle management.