Why This Role Stands Out
This hybrid role offers a fantastic opportunity to advance your cloud engineering career by designing and developing cutting-edge AWS solutions, including AI integrations, within a reputable company. You'll thrive here if you possess 8-10 years of experience, a strong command of AWS services, and a passion for leveraging AI tools to drive innovation. Apply today to join a collaborative team and contribute to impactful projects!
Quick Overview
Job Description
Job Details:
Must Have Skills
Cloud
AWS
Detailed Job Description
Design, develop, and support scalable cloudnative applications and services on AWS ECS using modern programming languages Python preferredDesign and configure AWS infrastructure components including Lambda, IAM, S3, DynamoDB, KMS, and networkingsecurity configurations.Support application deployment through GitHubbased CICD pipelines across Engineering, Test, and Production environments.Work with AIenabled development tools such as GitHub Copilot, Claude Code, and similar accelerators to improve productivity.Integrate applications with AWS AI services such as Bedrock and SageMaker.Evaluate and benchmark AI models for accuracy, response quality, latency, cost, and business suitability to support model selection and optimization.Collaborate with crossfunctional teams to gather requirements, understand dependencies, and deliver solutions.Translate highlevel business requirements into technical designs and working solutions.Create technical documentation, architecture diagrams, and provide regular demonstrations to stakeholders.
Minimum years of experience
8-10 years
Top 3 responsibilities you would expect the Subcon to shoulder and execute
design
develop
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