Software Engineer – Akamai Inference Cloud

🕒 vor 7 Monaten

🇵🇱 Polen – Remote

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

🧑‍💻 Full-Stack-Entwickler

👻 Geisterscore 53%

infoinfo

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of Akamai Technologies

Akamai Technologies

5001 - 10000 Mitarbeiter

🔒 Cybersecurity

🏢 Unternehmen

📱 Medien

Cybersecurity • Enterprise • Media

Akamai Technologies ist eine globale Plattform für Edge- und Cloud-Dienstleistungen, die Lösungen für die Bereitstellung von Inhalten, Edge Computing und Sicherheit anbietet. Das Unternehmen betreibt eines der weltweit größten verteilten Netzwerke zur Beschleunigung und zum Schutz von Web-, Medien- und Anwendungsverkehr. Akamai bietet Produkte für die Bereitstellung von Inhalten, DDoS-Schutz, API- und App-Sicherheit, Bot-Management, Edge Computing (serverlose/Edge-Funktionen) und KI-Inferenz am Edge an. Zudem stellt Akamai unternehmensfokussierte Sicherheitsdienste bereit (Zero Trust, Identitäts- und Zugangsmanagement, sicherer Internetzugang) sowie Tools für Cloud-/KI-Infrastruktur. Kürzlich hat Akamai seine Fähigkeiten durch Akquisitionen (zum Beispiel LayerX) erweitert, um KI-Nutzungen im Browser zu steuern.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

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

Jetzt Bewerben

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