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Senior II Platform Engineer Lead – Akamai Inference Cloud
Akamai Technologies. Lead the design and implementation of critical platform components for Akamai Inference Cloud .
Core Competencies
Role fitCore 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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesCloudDistributed 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