Senior Technical Solutions Architect

🕒 January 28

🏄 California – Remote

🏄 California – Remote

💵 $108.9k - $226.1k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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Akamai Technologies

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🔒 Cybersecurity

💰 Post-IPO Equity on 2001-07

Cloud Computing • Cybersecurity • Content Delivery

Akamai Technologies is a leading cloud services provider that specializes in delivering security, cloud computing, and content delivery solutions. It offers a range of services such as API security, DDoS protection, and performance optimization for web applications, ensuring secure and reliable user experiences. With a robust global infrastructure, Akamai empowers businesses to streamline their digital presence while safeguarding against various cyber threats and enhancing application performance.

📋 Description

• Supporting Akamai Large Strategic GPU and AI inference projects. • Driving new customer acquisition, support sales and marketing go-to-market initiatives. Direct customer engagement is required. • Leading solution and product innovation initiatives. Evangelizing local use cases/technology trends and influencing the product roadmap. • Building technical thought-leadership in Akamai AI inference and GPU offerings to support overall Akamai business growth. • Designing large GPU clusters to meet customer AI Inference and training needs.

🎯 Requirements

• Have 8 years of relevant experience and a bachelor's degree • Have experience working in a customer facing technical role with a public cloud either Hyperscale or Neo Cloud • Possess multiple certifications from AWS/GCP/Azure. • Demonstrate experience designing, developing, or maintaining multi-tier distributed application architectures including cloud-native, hybrid cloud, and multi-cloud. • Demonstrate experience designing/developing/maintaining solutions leveraging open source/core software across load balancing, web services, databases, CI/CD, and observability. • Demonstrate experience with Kubernetes and related containerization technologies, i.e. registries, container runtimes, container networking, and container storage. • Demonstrate experience architecting complex GPU and AI workloads, including GPU clusters, for model training and execution. • Demonstrate cloud basics across CLI tools, SDKs, and automation tools like Ansible, Salt, and Terraform.

🏖️ Benefits

• Healthcare • 401K savings plan • Company holidays • Vacation (in the form of PTO) • Sick time • Family friendly benefits including parental leave • Employee assistance program including a focus on mental and financial wellness