platform engineer

Akamai Technologies provides a globally distributed compute platform that enables companies to build, deliver, and secure digital experiences from cloud to edge. The Akamai Inference Cloud team develops AI platforms designed to support efficient, compliant, and high-performing applications, allowing customers to run inference models and developers to create advanced AI solutions.

• Lead the design and implementation of critical platform components for Akamai Inference Cloud to ensure performance, scalability, and reliability;
• Drive technical decisions regarding tools, frameworks, and architectural approaches for secure, scalable, and high-performance inference platform services;
• Lead the evolution of platform capabilities including authentication, load balancing, rate limiting, firewall integration, and API patterns;
• Design and improve data plane APIs, including OpenAI-compatible interfaces and other standards for AI application workloads;
• Define and advance platform observability through metrics, logging, tracing, monitoring, and operational diagnostics for distributed systems;
• Drive capacity planning and scalability strategies to support growth in traffic, models, and regional deployments;
• Lead Kubernetes-based orchestration patterns for platform services to ensure efficient and resilient deployment of containerized workloads;
• Mentor and guide engineers through code reviews, design discussions, and technical problem-solving.

• Advanced proficiency in distributed systems, cloud services, and platform engineering;
• Deep experience building and operating internet-facing platform services such as API gateways, ingress layers, reverse proxies, or service infrastructure;
• Advanced expertise in cloud-native architectures, containerization, and Kubernetes;
• Proven experience building scalable, high-performance systems with modern DevOps practices, CI/CD pipelines, and infrastructure-as-code;
• Technical leadership experience in guiding teams, promoting code quality, and delivering solutions for complex platform challenges;
• Experience designing and operating API platforms, including authentication, authorization, traffic management, and service protection;
• Extensive expertise in observability, monitoring, alerting, and debugging processes for large-scale distributed systems;
• Experience with capacity planning, performance analysis, and reliability engineering for production services.

• Comprehensive benefit plans covering health, finances, family, and time off;
• Opportunities for professional growth and development;
• Flexible working program allowing choice between home and office work.