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Job Description
Roles & Responsibilities
- Architect Infrastructure Solutions: Design and develop scalable, secure, and highly available infrastructure that supports Inception s AI platforms and applications.
- Cloud & On-Premises Architecture: Develop cloud-based and on-premises infrastructure to meet AI/ML workload requirements for performance, scalability, and security.
- Collaboration with Key Teams: Work closely with engineering, DevOps, and product teams to optimize infrastructure for AI training, inference, and data processing.
- High Availability & Disaster Recovery: Build high availability and disaster recovery solutions to ensure the resilience of critical AI platforms.
- Networking Architecture: Design and implement robust networking solutions for secure and reliable connectivity across AI systems.
- Automation & Infrastructure as Code: Champion the use of automation and IaC, leveraging tools like Terraform, Ansible, and Kubernetes for streamlined infrastructure deployment and management.
- Cloud Efficiency & Cost Management: Implement best practices for cloud resource efficiency and cost-effectiveness while maintaining stringent security standards.
- Technology Evaluation & Integration: Continuously assess and integrate new technologies to enhance infrastructure capabilities in storage, networking, and cloud-native services.
- Compliance & Security: Ensure infrastructure adheres to regulatory and security requirements, focusing on data privacy, encryption, and access control.
- Technical Guidance: Provide mentorship and technical leadership to the infrastructure team, promoting best practices in infrastructure quality and efficiency.
- Industry Trends & Innovation: Stay current on industry advancements and drive infrastructure innovation to support evolving AI and technology trends.
Desired Candidate Profile
- Experience: Minimum of 12 years in infrastructure architecture, cloud platforms, or systems engineering, with extensive experience in large-scale, mission-critical environments.
- Proven Cloud Expertise: Solid track record in architecting and managing infrastructures (AWS, Azure, GCP) for AI/ML workloads with a focus on scalability and resilience.
- Technical Proficiency: Expertise in cloud computing, networking, and storage, and experience with IaC tools like Terraform, Ansible, or CloudFormation.
- Containerization & Orchestration: Proficient in Docker and Kubernetes, with experience deploying and managing AI/ML workloads.
- Networking & Security Knowledge: Advanced understanding of networking protocols, VPNs, firewalls, and security best practices for hybrid and cloud environments.
- Storage Systems: Familiarity with storage solutions for AI/ML applications, including distributed storage and high-performance computing architectures.
- Resilience Strategies: Strong background in designing disaster recovery, business continuity, and high-availability plans.
- Cross-Functional Collaboration: Ability to work with DevOps, software engineering, and security teams to align infrastructure goals.
Company Industry
- IT - Software Services
Department / Functional Area
- IT Software
Keywords
- Infrastructure Architect
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Group 42
Inception, a G42 company, is the region s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai