Scalable Design Solutions
Globalfoundries Engineering Private LimitedJob Description
Scalable Design Solutions
- Deploy and manage AI web applications on AWS cloud infrastructure using containerization (Docker, ECS), serverless services (Lambda), and orchestration tools
- Build backend APIs and services that integrate AI orchestration systems, databases, and other agents like batch execution SW and EDA (Electronic Design Automation) tools
- Develop web-based user interfaces enabling semiconductor users to interact with AI-powered workflows, visualize insights and data
- Set up and maintain CI/CD pipelines for automated testing, deployment, and application lifecycle management
- Implement cloud infrastructure, security best practices, authentication, authorization, and role-based access control
- Develop dashboards, analytics, and reporting interfaces for workflow monitoring and performance tracking
- Monitor application performance, optimize AWS resource usage, and troubleshoot production issues
- Collaborate with GenAI/AI engineers to integrate their orchestration systems into deployable applications
- Follow Agile methodologies and deliver on OKRs and milestones with comprehensive documentation
- Support all Environmental, Health, Safety & Security requirements
- Collaborate with cross-functional teams (GenAI/AI Engineers, CAD Engineers, Design Teams, IT)
- Provide training and documentation to ensure application adoption by engineering teams
- 8+ years experience with Bachelor's degree or 6+ years with Master’s in Computer Science, Software Engineering, or related field
- 8+ years of web application development experience with at least 5+ years focused on cloud infrastructure and deployment
- Strong expertise in AWS cloud services and application deployment (EC2, ECS, Lambda, S3, CloudFormation/Terraform)
- Proficiency in backend development with Python (Flask, FastAPI, Django)
- Experience with containerization (Docker) and container orchestration
- Strong understanding of CI/CD pipelines, infrastructure as code, and DevOps practices
- Experience with RESTful APIs, databases (SQL/NoSQL), and cloud architecture patterns
- Familiarity with Git, automated testing, and agile development practices
- Experience with frontend frameworks (React, Vue.js, or Angular)
- Experience deploying and managing AI/ML applications or consuming AI services
- Knowledge of AWS AI/ML, GenAI services (Bedrock, SageMaker) from deployment/integration perspective
- Experience with Kubernetes (EKS) or advanced container orchestration
- Understanding of monitoring and observability tools (CloudWatch, Grafana)
- Experience in semiconductor, CAD, or technical engineering domains
- AWS certifications (Developer, Solutions Architect, DevOps Engineer)
- Experience with data visualization libraries and dashboard development
- Strong cloud infrastructure and deployment expertise
- Ability to work across full application stack when needed
- Pragmatic approach to balancing deployment velocity with reliability
- Strong integration skills connecting AI components with application layer
- Problem-solving and troubleshooting in production environments
- Self-motivated with ability to context-switch between infrastructure and application work
- Good communication and collaboration skills across technical teams
Information about our benefits you can find here: https://gf.com/about-us/careers/opportunities-asia
Experience Level
Senior LevelJob role
Job requirements
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Radical Minds TechnologyYou can expect a minimum salary of 0 INR. The salary offered will depend on your skills, experience and performance in the interview.
The candidate should have completed the required education and people who have 8 to 31 years are eligible to apply for this job. You can apply for more jobs in Bengaluru/Bangalore to get hired quickly.
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