Senior Technical Solutions Architect

🕒 January 28

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Logo of Akamai Technologies

Akamai Technologies

5001 - 10000 employees

🔒 Cybersecurity

🏢 Enterprise

📱 Media

Cybersecurity • Enterprise • Media

Akamai Technologies is a global edge platform and cloud services company that delivers content delivery, edge computing, and security solutions. The company operates one of the world’s largest distributed networks to accelerate and protect web, media, and application traffic, offering products for content delivery, DDoS protection, API and app security, bot management, edge compute (serverless/edge functions), and AI inference at the edge. Akamai also provides enterprise-focused security services (zero trust, identity and access management, secure internet access) and cloud/AI infrastructure tools, and has recently expanded capabilities through acquisitions (for example LayerX) to add browser-based AI usage control.

📋 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

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