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Happiest Minds - Senior Java Architect - Google Cloud Platform

Happiest Minds Technologies
13 - 18 Years
Bangalore

Posted on: 24/03/2026

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Job Description

Description :

Architectural Strategy, Leadership and Customer Connect :

- Create reference architectures, best practices, blueprints, and governance models for AI-driven systems.

- Expertise in designing and guiding implementation for SOA, Microservices, DDD, Event-driven, serverless applications, web application architecture, data architecture and various integration patterns.

- Impress upon the architectural strategy to customers as practical solutions addressing their pain points directly.

Cloud-Native & Hyperscale Infrastructure :

- Proven experience developing cloud-native applications.

- In-depth knowledge in cloud infrastructures like AWS, Azure or Google Cloud Platform (GCP)

Modern API & Gen AI driven Application Development :

- Lead adoption of GenAI across the enterprise LLM integration, RAG patterns, AI-assisted development, and automation workflows.

- Partner with product, engineering, and business teams to shape AI-enabled solution roadmaps

- Expertise in core frameworks including Spring, Spring Boot, Spring Security, Spring Integration and Node.Js.

- Experience with application servers/containers like Tomcat, Netty, Jetty, Nginx is a plus.

Programming Proficiency :

- Hands-on programming experience with multiple languages, like Java, NodeJS, Python and Go.

Enterprise Technology Implementation :

- Practical implementation knowledge of enterprise technologies: Messaging Systems, Elastic Search, Caching (Redis), IAM open standards like OAuth 2.0, JWT

DevOps & Data Engineering :

- Good knowledge of Infrastructure as Software (Container Orchestration, Observability, CI/CD) technologies Docker, Kubernetes, ServiceMesh, Serverless

- Knowledge of big data use cases and technologies such as Data lake, Data pipeline (AWS, Spark, Airflow)

Monitoring & Observability :

- Hands-on experience in implementing modern Observability practices across distributed systems (Microservices, Event-Driven) to gauge application health and performance


The job is for:

Women candidates preferred
For women joining back the workforce
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