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Akamai Technologies

Senior II Platform Engineer Lead – Akamai Inference Cloud

Akamai Technologies

. Lead the design and implementation of critical platform components for Akamai Inference Cloud .

Posted 10/15/2026full-timeRemote • PolandSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates advanced proficiency in distributed systems and cloud services, with a strong focus on building scalable, high-performance platform services. Expertise in Kubernetes orchestration, API design, and observability practices is essential for driving technical decisions and mentoring engineering teams.

Highest-signal resume keywords
Distributed SystemsCloud ServicesKubernetesAPI DesignObservability

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Platform EngineeringCloud-Native ArchitecturesCI/CD PipelinesInfrastructure-as-CodeTraffic ManagementService Protection PatternsPerformance AnalysisReliability EngineeringLoad BalancingRate Limiting
Soft Skills
Technical LeadershipMentoringProblem-SolvingCode Quality PromotionDesign Discussions
Tools & Technologies
Akamai Inference CloudAPI GatewaysIngress LayersReverse ProxiesMonitoring ToolsLogging ToolsTracing ToolsOperational DiagnosticsMetrics CollectionAlerting Systems
Industry Keywords
Cloud ServicesPlatform ServicesContainerizationOrchestration TechnologiesScalability StrategiesCapacity PlanningHigh-Performance SystemsDevOps PracticesDistributed SystemsInternet-Facing Services

Tech Stack

Tools & technologies
CloudDistributed SystemsKubernetes

About the role

Key responsibilities & impact
  • Lead the design and implementation of critical platform components for Akamai Inference Cloud
  • Drive technical decisions involving tools, frameworks, and architectural approaches for platform services
  • Lead platform capabilities including authentication, load balancing, rate limiting, firewall integration, and externally facing API patterns
  • Design and improve data plane APIs, including OpenAI-compatible interfaces
  • Define and advance observability through metrics, logging, tracing, monitoring, and operational diagnostics
  • Drive capacity planning and scalability strategies for traffic, models, and regional deployments
  • Lead Kubernetes-based orchestration patterns for containerized platform workloads
  • Mentor and guide engineers through code reviews, design discussions, and technical problem-solving

Requirements

What you’ll need
  • 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, including containerization and orchestration technologies such as Kubernetes
  • Proven experience building scalable, high-performance systems with modern DevOps practices, CI/CD pipelines, and infrastructure-as-code
  • Technical leadership experience guiding engineers, promoting code quality, and delivering solutions for intricate platform challenges
  • Experience designing and operating API platforms, including authentication, authorization, traffic management, and service protection patterns
  • 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

Benefits

Comp & perks
  • FlexBase global flexible working program, with the choice to work from home, the office, or both in Poland
  • Benefits designed around health, finances, family, time at work, and other endeavors
  • Benefit plan options designed to meet individual needs and budget
  • Opportunities to grow, flourish, and achieve great things