Senior Engineering Manager - Full Stack Cloud & AI Platforms

Full Stack Engineer

Project Role : Full Stack Engineer
Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.
Must have skills : Java Full Stack Development
Good to have skills : Spring Boot, Microsoft Azure Architecture, Microservices and Light Weight Architecture
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
Java 17, Spring Boot, Microservices, Cloud Modernization, and AI/LLM integration are must-have skills for this requirement.
We are seeking a Senior Manager – Engineering with strong expertise in building cloud-native, microservices-based platforms and driving enterprise AI adoption using LLMs and Agentic AI frameworks. The ideal candidate will provide technical leadership, architecture guidance, and strategic direction while managing multiple teams delivering scalable applications on Azure.

Roles & Responsibilities
Lead architecture and delivery of Java 17 microservices platforms using Spring Boot and reactive frameworks.
Drive cloud modernization programs, transforming legacy systems into cloud-native microservices architectures.
Define enterprise strategy for AI-enabled applications leveraging LLMs and Agentic AI frameworks.
Oversee development of event-driven architectures using Kafka and Azure messaging services.
Ensure best practices in scalability, reliability, performance, and security.
Guide engineering teams deploying applications on Azure App Service, Azure Spring Apps, and AKS.
Collaborate with enterprise architects and stakeholders to align technology strategy with business goals.
Mentor engineering managers and senior developers.
Establish DevOps practices and ensure CI/CD and cloud automation maturity.

Professional & Technical Skills
Programming & Frameworks
Strong expertise in Java 17 and Spring Boot.
Experience building reactive microservices architectures.
Strong background in enterprise API design and distributed systems.

Architecture
Expertise in microservices and event-driven architectures.
Proven experience leading large-scale cloud modernization initiatives.
Strong knowledge of enterprise application architecture and platform engineering.

AI, Agentic AI & LLM Integration
Strong understanding of Generative AI, LLM architectures, and enterprise AI adoption.
Experience defining solutions using Azure OpenAI or similar platforms.
Familiarity with Agentic AI frameworks, RAG architectures, and AI-driven automation.

Event Streaming & Messaging
Kafka
Azure Event Hubs, Service Bus, Event Grid
Azure Cloud & PaaS Services

Experience with:
App Hosting & Containers
Azure App Service
Azure Spring Apps
Azure Kubernetes Service (AKS)

Serverless & Workflows
Azure Functions
Logic Apps

API Management
Azure API Management (APIM)

Data Services
Cosmos DB
Azure PostgreSQL

Caching
Azure Redis Cache
DevOps & Platform Engineering
CI/CD (Azure DevOps, GitHub Actions)
Docker, Kubernetes
Cloud-native security and governance practices

Additional Information
Experience: 14–18 years
Education: Bachelor s degree in Computer Science or related field
Preferred: Azure or AI certifications