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Designing cloud architectures for scalable AI/GenAI applications in healthcare, leveraging AWS services. 8+ years architecting cloud-native applications with 3+ years in AI/ML workloads required. Work focused on improving human health globally.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline
- 8+ years of experience architecting and delivering cloud-native applications
- At least 3 years specializing in AI/ML or GenAI workloads
- Experience with monitoring, optimizing, and troubleshooting cloud infrastructure
- Expertise in AWS cloud services
- Proficiency in Infrastructure as Code and modern DevOps practices
- AWS Certification a plus
- Full stack experience a plus
- Experience supporting global deployments of multi-platform applications
- Proven communication skills
- Fluency in English a must
- Passion for transforming organizations through large scale data
Tasks
- Design and build cloud architectures for scalable AI/GenAI applications
- Leverage cloud-native services for optimal performance and cost efficiency
- Monitor and optimize cloud infrastructure for latency and throughput
- Implement load balancing, auto-scaling, and failover strategies
- Document reference architectures and technical roadmaps
- Develop and maintain infrastructure as code (IaC) frameworks
- Implement automated workflows for cloud deployment
- Establish monitoring, security guardrails, and compliance checks
- Champion secure cloud designs in line with regulatory requirements
- Establish observability and disaster recovery mechanisms for workloads
Work Experience
- 8 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- Terraform
- CloudFormation
- OpenTofu
- Docker
- Kubernetes
- CloudWatch
- Prometheus
- Datadog
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Designing cloud architectures for scalable AI/GenAI applications in healthcare, leveraging AWS services. 8+ years architecting cloud-native applications with 3+ years in AI/ML workloads required. Work focused on improving human health globally.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline
- 8+ years of experience architecting and delivering cloud-native applications
- At least 3 years specializing in AI/ML or GenAI workloads
- Experience with monitoring, optimizing, and troubleshooting cloud infrastructure
- Expertise in AWS cloud services
- Proficiency in Infrastructure as Code and modern DevOps practices
- AWS Certification a plus
- Full stack experience a plus
- Experience supporting global deployments of multi-platform applications
- Proven communication skills
- Fluency in English a must
- Passion for transforming organizations through large scale data
Tasks
- Design and build cloud architectures for scalable AI/GenAI applications
- Leverage cloud-native services for optimal performance and cost efficiency
- Monitor and optimize cloud infrastructure for latency and throughput
- Implement load balancing, auto-scaling, and failover strategies
- Document reference architectures and technical roadmaps
- Develop and maintain infrastructure as code (IaC) frameworks
- Implement automated workflows for cloud deployment
- Establish monitoring, security guardrails, and compliance checks
- Champion secure cloud designs in line with regulatory requirements
- Establish observability and disaster recovery mechanisms for workloads
Work Experience
- 8 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- Terraform
- CloudFormation
- OpenTofu
- Docker
- Kubernetes
- CloudWatch
- Prometheus
- Datadog
About the Company
Abbott
Industry
Healthcare
Description
Das Unternehmen ist ein weltweit führendes Unternehmen im Gesundheitswesen, das bahnbrechende wissenschaftliche Erkenntnisse nutzt und Lösungen zur Verbesserung der Gesundheit der Menschen entwickelt.
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