Design and evolve automation frameworks for public cloud infrastructure deployments at scale.
Enable secure cloud adoption by automating governance, audit, security, and compliance controls.
Use, develop and maintain AI services across AWS Platform (Cloud Native)
Build and maintain infrastructure and application monitoring to detect, prevent, and respond to incidents.
Drive cloud reliability, performance, and cost optimisation through best practices and continuous improvement.
Develop tools and mechanisms that eliminate repetitive operational tasks and improve engineering efficiency.
Review code, assess technical implementations, and provide actionable feedback to improve platform tooling.
Participate in on‑call rotations and serve as an escalation point for cloud service incidents.

Bachelor’s degree in Computer Science or a related field, or equivalent practical experience
4+ years of overall professional experience, including 2+ years supporting multi‑account Amazon Web Services (AWS) platform infrastructure
Efficient in use, maintenance of AWS AI services like Bedrock, Sagemaker while maintaining strong proficiency in AI/ML Concepts
Proficiency in object‑oriented programming and SOLID design principles with hands-on experience with one or more programming languages, such as Python, JavaScript/TypeScript, Ruby, Java, or Go
Strong experience with infrastructure as code (IaC), automation, and continuous integration/continuous delivery (CI/CD) pipelines
Demonstrated knowledge of public cloud security best practices, tooling, and risk identification
Working 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.

Cloud Platform – AI Engineer

Key skills