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AWS BACKEND ENGINEER – CHIP DESIGN AUTOMATION PLATFORM

Novamite bogota, d.c., capital district, colombia novamite bogota, d.c., capital district, colombia get ai-powered advice on this job and more exclusive features. we are seeking a skilled aws backend engineer to lead the cloud integration and backend development of a next-generation analog chip design engine. this role involves building scalable microservices, handling data exchange between a python-based simulation engine and major eda providers (e.g., cadence, siemens, synopsys), and deploying the solution securely on aws. you’ll be working in close collaboration with a chip design team and ai/data engineers. key responsibilities: design, implement, and maintain backend apis and microservices. connect cloud infrastructure to eda platforms (e.g., cadence, siemens, synopsys) using aws and secure integration best practices. deploy and manage services using aws (lambda, ecs, api gateway, s3, cloudwatch, cognito, etc.). handle data ingestion and storage for simulation files (spice netlists, gds, text files). collaborate with frontend developers to ensure smooth integration of ui with backend services. optimize performance for running python-based design verification scripts and data flows. implement secure access control, user management, and logging. required skills: strong aws experience, especially with: aws lambda api gateway ecs/eks (or docker on ec2) s3, rds/dynamodb iam, cognito cloudformation or terraform (nice to have) backend development: proficient in python or node.js, with experience building scalable restful apis. devops & ci/cd: familiarity with github actions, ...


AWS BACKEND ENGINEER – CHIP DESIGN AUTOMATION PLATFORM | (H012)

Novamite bogota, d.c., capital district, colombia novamite bogota, d.c., capital district, colombia get ai-powered advice on this job and more exclusive features. we are seeking a skilled aws backend engineer to lead the cloud integration and backend development of a next-generation analog chip design engine. this role involves building scalable microservices, handling data exchange between a python-based simulation engine and major eda providers (e.g., cadence, siemens, synopsys), and deploying the solution securely on aws. you’ll be working in close collaboration with a chip design team and ai/data engineers. key responsibilities: - design, implement, and maintain backend apis and microservices. - connect cloud infrastructure to eda platforms (e.g., cadence, siemens, synopsys) using aws and secure integration best practices. - deploy and manage services using aws (lambda, ecs, api gateway, s3, cloud watch, cognito, etc.). - handle data ingestion and storage for simulation files (spice netlists, gds, text files). - collaborate with frontend developers to ensure smooth integration of ui with backend services. - optimize performance for running python-based design verification scripts and data flows. - implement secure access control, user management, and logging. required skills: - strong aws experience, especially with: - aws lambda - api gateway - ecs/eks (or docker on ec2) - s3, rds/dynamodb - iam, cognito - cloud formation or terraform (nice to have) - backend development: proficient in python or node.js, with experience building scalable restful apis. - dev op...


AWS BACKEND ENGINEER – CHIP DESIGN AUTOMATION PLATFORM | [Y-250]

Novamite bogota, d.c., capital district, colombia novamite bogota, d.c., capital district, colombia get ai-powered advice on this job and more exclusive features. we are seeking a skilled aws backend engineer to lead the cloud integration and backend development of a next-generation analog chip design engine. this role involves building scalable microservices, handling data exchange between a python-based simulation engine and major eda providers (e.g., cadence, siemens, synopsys), and deploying the solution securely on aws. you'll be working in close collaboration with a chip design team and ai/data engineers. key responsibilities: - design, implement, and maintain backend apis and microservices. - connect cloud infrastructure to eda platforms (e.g., cadence, siemens, synopsys) using aws and secure integration best practices. - deploy and manage services using aws (lambda, ecs, api gateway, s3, cloudwatch, cognito, etc.). - handle data ingestion and storage for simulation files (spice netlists, gds, text files). - collaborate with frontend developers to ensure smooth integration of ui with backend services. - optimize performance for running python-based design verification scripts and data flows. - implement secure access control, user management, and logging. required skills: - strong aws experience, especially with: - aws lambda - api gateway - ecs/eks (or docker on ec2) - s3, rds/dynamodb - iam, cognito - cloudformation or terraform (nice to have) - backend development: proficient in python or node.js, with experience building scalable restful apis. - devops & c...


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