Research and recommend the best approach to solve a given problem
Take part in the research, design, development, deployment, and monitoring of cross-platform AutoCAD features – bringing a centralized backend perspective to the table
Adopt of best practice and market-standard technologies and methodologies...
Research and recommend the best approach to solve a given problem
Take part in the research, design, development, deployment, and monitoring of cross-platform AutoCAD features – bringing a centralized backend perspective to the table
Adopt of best practice and market-standard technologies and methodologies...
Position OverviewAutoCAD, the leading software for Computer-Aided Design, is seeking a highly motivated Backend Software Engineer intern to join our team to build and support the entire cloud services ecosystem for our various products.
You will be part of the AutoCAD backend team that builds, expands, and maintains the backend cloud solutions for the multi-platform AutoCAD application that serves millions of users. You’ll be working with modern technology stacks, including Python, Django, Java, AWS, PostgreSQL/MySQL, Redis, Dynatrace, Docker and more....
Take part in the research, design, development, deployment, and monitoring of cross-platform AutoCAD features – bringing a centralized backend perspective to the table
Adopt of best practice and market-standard technologies and methodologies
Collaborate with colleagues both inside and outside of the team...
Take part in the research, design, development, deployment, and monitoring of cross-platform AutoCAD features – bringing a centralized backend perspective to the table
Adopt of best practice and market-standard technologies and methodologies
Collaborate with colleagues both inside and outside of the team...
Research and recommend the best approach to solve a given problem
Take part in the research, design, development, deployment, and monitoring of cross-platform AutoCAD features – bringing a centralized backend perspective to the table
Adopt of best practice and market-standard technologies and methodologies...
Define end-to-end architecture for stream processing: ingest, stateful processing, delivery, replay, and integration with downstream systems on Flink and Kafka
Design API-first boundaries (REST and event-driven patterns as appropriate) so streams, jobs, schemas, and operational workflows are manageable and safe at scale...
Define end-to-end architecture for stream processing: ingest, stateful processing, delivery, replay, and integration with downstream systems on Flink and Kafka
Design API-first boundaries (REST and event-driven patterns as appropriate) so streams, jobs, schemas, and operational workflows are manageable and safe at scale...
Define end-to-end architecture for stream processing: ingest, stateful processing, delivery, replay, and integration with downstream systems on Flink and Kafka
Design API-first boundaries (REST and event-driven patterns as appropriate) so streams, jobs, schemas, and operational workflows are manageable and safe at scale...
Define end-to-end architecture for stream processing: ingest, stateful processing, delivery, replay, and integration with downstream systems on Flink and Kafka
Design API-first boundaries (REST and event-driven patterns as appropriate) so streams, jobs, schemas, and operational workflows are manageable and safe at scale...
Define end-to-end architecture for stream processing: ingest, stateful processing, delivery, replay, and integration with downstream systems on Flink and Kafka
Design API-first boundaries (REST and event-driven patterns as appropriate) so streams, jobs, schemas, and operational workflows are manageable and safe at scale...