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Design build and deploy highly optimized microservices using Python and GraphQL for efficient cloud deployment
Utilize cloud-native serverless architectures heavily leveraging AWS Lambda to ensure effective and scalable execution
Be responsible for optimizing and improving API performance in real-world conditions demonstrating innovative solutions to tough challenges Work with cross-functional product teams to deliver a seamless customer experience
Key Qualifications For consideration you must bring the following minimum skills and experiences to our team
8 years of experience working in software engineering product teams, working hands-on with backend architecture and acting in a Technical Leadership capacity Strong programming skills in Python Deep understanding of Production-ready API Design and Management, specifically building and consuming GraphQL and REST APIs Extensive hands-on experience with the AWS Cloud Native ecosystem including AWS Lambda API Gateway Amazon SQS/SNS and AWS DynamoDB Additional Skills DevOps & Infrastructure Experience with CI/CD pipeline automation utilizing AWS Deploy Tools (AWS CodeDeploy, CodeBuild) Docker Kubernetes Jenkins and GitHub
Technical Leadership & Communication Excellent communication documentation and leadership abilities, particularly in cross-functional technical environments Initiative & Execution Highly driven individual with a demonstrated ability to deliver results and lead technically, both independently and as a contributing team member Education Bachelor’s or Master’s degree in EE CS with practical experience
Work arrangement
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