Software Engineer – Akamai Inference Cloud

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🕒 March 19

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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

• Implementing and maintaining platform components for Akamai Inference Cloud, with a focus on scalability, reliability, and operability. • Contributing to services across ingress, gateway, and data plane layers under the guidance of senior engineers. • Supporting the development of platform capabilities such as authentication, traffic handling, and API service functionality. • Helping build and improve data plane APIs, including interfaces aligned with OpenAI-compatible patterns and other supported standards. • Writing clean, maintainable, and well-tested code for cloud-native services running in containerized environments. • Assisting with observability by contributing metrics, logging, tracing, dashboards, and operational diagnostics for distributed systems. • Supporting Kubernetes-based deployment and orchestration of platform services in production environments. • Collaborating with teammates in code reviews, design discussions, testing, and incident support to improve platform quality and operational excellence.

🎯 Requirements

• 2+ of software engineering experience, with a solid foundation in backend systems, cloud services, or platform engineering. • Show proficiency in building and debugging distributed or service-oriented applications. • Have familiarity with cloud-native technologies such as containers, Kubernetes, and modern deployment workflows. • Demonstrate experience developing APIs or backend services with attention to reliability, performance, and maintainability. • Show understanding of core operational practices including testing, CI/CD, monitoring, and troubleshooting. • Have familiarity with observability concepts such as metrics, logs, and tracing in production systems. • Bring interest in internet-facing platform services such as ingress, authentication, load balancing, or API infrastructure. • Show curiosity about AI inference platforms, model serving systems, or infrastructure used to support LLM and inference workloads.

🏖️ Benefits

• Your health • Your finances • Your family • Your time at work • Your time pursuing other endeavors