AWS AI Cloud Engineer

Job description

Key Responsibilities • Cloud Architecture & Evaluation: Assess and analyze existing AWS landscapes against the AWS Well-Architected Framework to identify gaps and recommend strategic improvements. • Infrastructure Design: Architect and develop secure, scalable, and resilient cloud applications utilizing core AWS services. • DevOps & Automation: Design, implement, and maintain robust CI/CD frameworks to streamline application deployment. • Scripting & Tooling: Build automation scripts and infrastructure-as-code solutions to eliminate manual processes and improve operational efficiency. Required Skills & Qualifications • AWS Expertise: Deep, hands-on experience architecting and developing with core AWS services, including S3, Lambda, EC2, VPC, and IAM. • CI/CD Tools: Strong experience with Azure DevOps (ADO) or similar tools like Jenkins for continuous integration and delivery. • Automation & Scripting: Strong understanding of automation using Python and the Boto3 library. • Methodologies: Solid understanding of modern CI/CD principles, DevOps culture, and agile methodologies. Nice to Have / Preferred Qualifications • Experience or core knowledge of generative AI tools, specifically AWS Bedrock and AI Agents. • Application Development: Core software development experience using languages such as Python, Java, or equivalent will be nice to have • Relevant certifications, such as AWS Certified Solutions Architect Professional or AWS Certified DevOps Engineer – Professional.