Senior Software Engineer Lead – Akamai Inference Cloud

🕒 vor 5 Monaten

🇵🇱 Polen – Remote

⏰ Vollzeit

🟠 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

• Leading the design and implementation of critical platform components for Akamai Inference Cloud, ensuring performance, scalability, and reliability. • Driving technical decisions for your domain, selecting appropriate tools, frameworks, and architectural approaches for secure, scalable, and high-performance inference platform services. • Leading the evolution of platform capabilities including authentication, load balancing, rate limiting, firewall integration, and externally facing API patterns. • Designing and improving data plane APIs, including OpenAI-compatible interfaces and other standards required to support diverse inference and AI application workloads. • Defining and advancing platform observability through metrics, logging, tracing, monitoring, and operational diagnostics for distributed systems at scale. • Driving capacity planning and scalability strategies to ensure the platform can support growth in traffic, models, and regional deployments. • Leading Kubernetes-based orchestration patterns for platform services, helping ensure efficient, resilient, and operable deployment of containerized workloads. • Mentoring and guiding engineers on the team through code reviews, design discussions, and technical problem-solving.

🎯 Anforderungen

• Possess software engineering expertise with advanced proficiency in distributed systems, cloud services, and platform engineering. • Demonstrate deep experience building and operating internet-facing platform services such as API gateways, ingress layers, reverse proxies, or service infrastructure. • Demonstrate advanced expertise in cloud-native architectures, incorporating containerization and orchestration technologies such as Kubernetes. • Have proven experience building scalable, high-performance systems with modern DevOps practices, CI/CD pipelines, and infrastructure-as-code. • Exhibit technical leadership by guiding, promoting code quality, and delivering solutions for intricate platform challenges. • Have experience designing and operating API platforms, including authentication, authorization, traffic management, and service protection patterns. • Demonstrate extensive expertise in observability, monitoring, alerting, and debugging processes for large-scale distributed systems. • Have experience with capacity planning, performance analysis, and reliability engineering for production services.

🏖️ Vorteile

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

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