AI-Native Software Engineer, Cloud (AWS)
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Role details
Tech stack
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Requirements
Amazon Web Services (AWS), Software Engineering, Artificial Intelligence (AI), Cloud Computing, Computer Engineering, Computer Science, Artificial Intelligence (AI), Software Development, Test Automation, Amazon Elastic Compute Cloud (EC2), BS or MS degree in Computer Science, Computer Engineering, or a related technical field, or demonstrated equivalent experience.
- Demonstrated fluency in leveraging AI technologies across the entire software development
lifecycle, including breaking down user stories into actionable tasks, AI-assisted coding and
testing, automated defect resolution, and deployment of fully tested software.
- Deep, hands-on experience building and deploying production systems on AWS (e.g., EC2, Lambda,
ECS/EKS, S3, RDS/DynamoDB, API Gateway), with a track record of real, customer-facing
applications running in production.
- Server-side software development experience with Python, Java, NodeJS, and/or other similar
technologies; client-side web application development experience using React, Backbone, native
JavaScript, and/or other comparable technologies.
- Expertise in building secure, large-scale systems using fault-tolerant technologies (such as
Elasticsearch, CockroachDB, Oracle, MongoDB & Kafka).
- AWS certification (e.g., Solutions Architect, Developer) and/or CISSP/CCSP or similar security
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