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