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Software Cloud Developer

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Onsite

Software Cloud Developer

MacroHire

Software Cloud Developer

Skills

Google Cloud PlatformDeep LearningTypescriptPythonGolangJavaDevOpsMicroservicesTensorFlowMachine LearningAIAWSNLP / Natural Language ProcessingJavascriptAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

18 September 2026

What they need


JD-Software Cloud Developer - Bangalore (Hybrid)

Experience: 10–20 Years

We are looking fo r a Software Cloud Developer with strong expertise in Cloud Application Development, AI/ML, LLMs, Agentic AI architecture, MCP Servers, and Cloud Security . The ideal candidate should have hands-on experience designing, developing, deploying, and optimizing AI-powered cloud applications.

Key Responsibilities

  • Design and develop cloud applications leveraging Agentic AI architecture and MCP (Model Context Protocol) servers .
  • Develop, deploy, and optimize Large Language Models (LLMs) using modern AI/ML frameworks.
  • Design and implement Machine Learning and Deep Learning models with end-to-end deployment using MLflow, TensorFlow/TensorFlow Lite , etc.
  • Develop Generative AI solutions , including LLM-based few-shot learning and synthetic data generation using GANs .
  • Build scalable AI/ML and cloud-native applications , APIs, and microservices.
  • Implement static/dynamic model analysis, model optimization, monitoring, and production deployment .
  • Ensure strong Cloud Security, Application Security, AI/ML Security, and secure deployment practices .
  • Collaborate with architects and engineering teams to drive innovative AI-powered cloud solutions.

Required Skills-

AI/ML: AI/ML, Machine Learning, Deep Learning, Generative AI, LLM, LLM Development, NLP, GANs, Few-Shot Learning, Synthetic Data

Agentic AI: Agentic AI, AI Agents, Agent Architecture, MCP, MCP Servers, Model Context Protocol, AI Orchestration

Cloud: Cloud Application Development, Cloud-Native, Microservices, REST APIs, AWS/Azure/GCP, Cloud Architecture

ML Engineering: MLflow, TensorFlow, TensorFlow Lite, Model Deployment, MLOps, Model Optimization, Model Monitoring

Security: Cloud Security, AI/ML Security, Application Security, Secure AI, DevSecOps

Programming: Python, Java, Golang/Go, JavaScript/TypeScript

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