Software Engineer – Akamai Inference Cloud

🕒 March 19

🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 53%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Akamai Technologies

WebsiteLinkedInAll Job Openings

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

• 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

• Bring 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