Cloud Architect
Role details
Job location
Tech stack
Job description
Join Abbott, a global healthcare leader dedicated to enhancing lives. This role offers an innovative work environment and valuable benefits.
Tasks
- Design and maintain cloud architectures for robust AI applications.
- Streamline cloud infrastructure deployments for faster development.
- Ensure compliance and security in cloud designs for data integrity., the world.
This role focuses on designing and implementing cloud architectures that run AI/GenAI applications in a scalable way across multiple platforms (mobile, web etc..) used by our stakeholders around the world. You help our Engineering team to streamline or automate cloud infrastructure deployment, to enable other development teams to develop and deploy faster focusing on the application core.
Core Job Responsibilities:
Cloud Solution Architecture:
Design and build, and maintain cloud architectures for scalable, robust AI/GenAI applications across platforms (web, mobile, desktop).
Leverage cloud-native services to ensure optimal performance, availability, security, and cost efficiency.
Monitor and optimize cloud infrastructure for latency, throughput, and cost efficiency, leveraging cloud-native monitoring and alerting tools.
Design and implement load balancing, auto-scaling, and failover strategies to guarantee high availability across all deployed applications.
Document reference architectures, technical roadmaps, and conduct design reviews with engineering and product teams.
Infrastructure as Code & Automation:
Develop and maintain infrastructure as code (IaC) frameworks and automated workflows, making cloud deployment accessible to developers regardless of IaC expertise.
Implement robust monitoring, security guardrails, and compliance checks to ensure infrastructure changes are safe, reliable, and aligned with production standards.
Security, Compliance, and Reliability:
Champion secure cloud designs, ensuring compliance with data privacy, security, and regulatory requirements in coordination with our security team.
Establish observability, monitoring and disaster recovery mechanisms for all AI/GenAI
Requirements
- Bachelor's/Master's in Computer Science or related field required.
- Expertise in AWS services and cloud-native applications.
- Strong communication skills and passion for data transformation., workloads.
Preferred Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline.
8+ years of experience architecting and delivering cloud-native applications, including at least 3 years specializing in AI/ML or GenAI workloads.
Demonstrated experience with monitoring, optimizing, and troubleshooting cloud infrastructure for performance, reliability, and cost-efficiency using modern observability tools (e.g., CloudWatch, Prometheus, Datadog).
Expertise in AWS cloud services (e.g., ECS, EKS, Lambda, SageMaker, S3, IAM, VPC, Cognito, Step Functions, CloudWatch)
Proficiency in Infrastructure as Code (Terraform, CloudFormation, OpenTofu) and modern DevOps practices (CI/CD, OPA, containerization with Docker/Kubernetes).
AWS Certification (Solutions Architect, DevOps Engineer etc..) a plus.
Full stack experience a plus.
Experience supporting global deployments of multi-platform applications (web, mobile, desktop) across geographies (CDN).
Proven communication skills. Fluency in English a must.
Passion for transforming organizations through large scale data
Do you like the sound of this job and think you've got what it takes? Then send us your CV today. We look forward to receiving your application as pdf.
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