
Cloud Platform, AI Engineer
Posted May 6

Posted May 6
• Create and enhance automation frameworks for large-scale public cloud infrastructure deployments.
• Facilitate secure cloud adoption by automating governance, auditing, security, and compliance measures.
• Utilize, develop, and sustain AI services across the AWS Platform (Cloud Native).
• Establish and uphold infrastructure and application monitoring to identify, prevent, and address incidents.
• Enhance cloud reliability, performance, and cost efficiency through best practices and ongoing improvements.
• Design tools and systems that eliminate repetitive operational tasks and increase engineering productivity.
• Evaluate code, analyze technical implementations, and offer constructive feedback to enhance platform tools.
• Engage in on-call rotations and act as an escalation point for cloud service incidents.
• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
• Over 4 years of professional experience, including at least 2 years supporting multi-account Amazon Web Services (AWS) platform infrastructure.
• Proficient in the use and maintenance of AWS AI services such as Bedrock and Sagemaker while possessing a solid understanding of AI/ML concepts.
• Strong knowledge of object-oriented programming and SOLID design principles with practical experience in one or more programming languages, including Python, JavaScript/TypeScript, Ruby, Java, or Go.
• Extensive experience with infrastructure as code (IaC), automation, and continuous integration/continuous delivery (CI/CD) pipelines.
• Proven understanding of public cloud security best practices, tools, and risk identification techniques.
• Basic knowledge of networking fundamentals, including Domain Name System (DNS), load balancing, Secure Sockets Layer (SSL), Transmission Control Protocol/Internet Protocol (TCP/IP), and related concepts.
• Flexible work environment that encourages individual growth, well-being, and a sense of belonging.
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