Manager | Solution Architecture | Bengaluru | Engineering

Manager | Solution Architecture | Bengaluru | Engineering
• Job requisition ID : 102802 
• Location: Bengaluru
• Entity: Deloitte Touche Tohmatsu India LLP 

The team

Deloitte’s Technology & Transformation practice helps organizations harness the power of data and emerging technologies to drive innovation and business outcomes. Our global network provides strategic guidance and implementation services to enable enterprises to adopt next-generation solutions across AI, cloud, data, and engineering.

Within this, our AI Engineering and Cloud Solutions practice focuses on designing and delivering intelligent, cloud-native applications powered by Agentic AI, modern software engineering, and DevOps. We leverage cutting-edge AI frameworks, cloud platforms, and automation technologies to build scalable, secure, and enterprise-grade solutions that accelerate digital transformation.

Your work profile

The Software Engineer – Java/Python with Agentic AI & GCP will be responsible for designing, developing, and deploying cloud-native applications integrated with Agentic AI capabilities. The role involves building scalable enterprise applications, implementing AI-driven solutions, and leveraging Google Cloud Platform (GCP) along with DevOps and Infrastructure as Code (IaC) practices to deliver secure and reliable software solutions.

The ideal candidate should have strong programming skills in either Java or Python, hands-on experience with cloud application development, and a good understanding of modern AI architectures and software delivery practices.

Key skills required

• 3–7 years of experience in software development using Java or Python

• Strong programming and problem-solving skills

• Good understanding of Agentic AI architecture and AI-driven application development

• Experience in developing cloud-native applications on Google Cloud Platform (GCP)

• Good exposure to DevOps practices, CI/CD pipelines, and automation

• Experience with Infrastructure as Code (IaC) tools such as Terraform or Deployment Manager

• Knowledge of REST APIs, microservices architecture, and distributed systems

• Experience with version control systems such as Git

• Understanding of containerization technologies such as Docker and Kubernetes is an advantage

• Strong analytical, debugging, and troubleshooting skills

• Excellent communication and stakeholder management skills

Preferred Qualifications

• Education : Any Graduate

• GCP certifications are preferred

• Exposure to AI/ML frameworks and Large Language Models (LLMs)

• Familiarity with cloud security best practices

• Experience working in Agile/Scrum development environments

• Exposure to enterprise application development and consulting engagements

Key Skills & Competencies

• Java or Python application development

• Agentic AI architecture

• Google Cloud Platform (GCP)

• Cloud-native application development

• DevOps and CI/CD

• Infrastructure as Code (Terraform/Deployment Manager)

• Microservices architecture

• Problem-solving and analytical thinking

• Collaboration and stakeholder communication

• Agile software development

Success Metrics

• Delivery of scalable and secure cloud-native applications

• Successful implementation of Agentic AI solutions

• High-quality software with optimized performance

• Efficient DevOps and automated deployment processes

• Strong code quality and maintainability

• Client satisfaction and timely project delivery

• Contribution to reusable engineering assets and best practices

• Proficiency in English
  
  Base Location
  Bangalore