Global Foundries - Cloud Applications Engineer - CI/CD Pipeline

Description :

Title : Scalable Design Solutions Cloud Applications Engineer.

About GlobalFoundries :

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the worlds most inspired technology companies.

With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets.

Summary Of Role :

You are part of a team developing industry-leading GenAI solutions for semiconductor enablement development and design workflows.

You will be responsible for building end-to-end applications with intuitive user interfaces, backend services, and cloud deployment working alongside GenAI/AI R&D engineers.

You will create cloud hosted web applications for semiconductor developers and designers to interact with AI agents, visualize workflows, and get insights from underlying data.

Your focus is on application development and deployment integrating the AI orchestration layer built by AI engineers into production-ready user experiences using AWS cloud infrastructure.

Essential Responsibilities :

- 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.

Other Responsibilities :

- 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.

Qualifications Required :

- 8+ years experience with Bachelor's degree or 6+ years with Masters 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.

Preferred :

- 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.

Key Competencies :

- 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.