Resumo da vaga

Senior II Platform Engineer Lead- Akamai Inference Cloud- Remote/Poland

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

Partner with the best

  • 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.

To be successful in this role you will:

  • 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.

Working for you

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