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Metro Bengaluru, generalist fullstack role with broad cloud and web requirements increases candidate competition.
Strong cloud and fullstack skills transfer across industries, but semiconductor/EDA preference raises domain specificity.
8+ years plus mandatory AWS, cloud deployment, and backend/frontend skills creates strict filtering.
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Develop and deploy cloud-hosted web applications integrating AI orchestration systems for semiconductor design workflows using AWS infrastructure.
Manage backend APIs, containerized deployment (Docker, ECS), serverless services (Lambda), and set up CI/CD pipelines for continuous delivery and monitoring.
Collaborate with GenAI/AI engineers and semiconductor teams to deliver AI-powered user interfaces, dashboards, and maintain production performance.
8+ years experience with Bachelor's degree OR 6+ years with Master’s in Computer Science, Software Engineering, or related field.
8+ years in web application development including 5+ years focused on cloud infrastructure and deployment.
Strong expertise in AWS services (EC2, ECS, Lambda, S3, CloudFormation/Terraform), backend Python development (Flask, FastAPI, Django), and containerization (Docker).
Experience with CI/CD pipelines, infrastructure as code, RESTful APIs, databases (SQL/NoSQL), and agile development practices.
Experienced in integrating AI/GenAI orchestration layers into production applications within semiconductor or technical engineering domains.
Capable full-stack developer comfortable balancing deployment velocity and system reliability with strong troubleshooting skills in production environments.
Skilled in collaborating across multi-disciplinary teams involving AI engineers, CAD engineers, and semiconductor design teams.