Senior II Software Engineer Lead - Akamai Inference Cloud
New
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AkamaiCloud Technology
Remote/PolandFull-TimeLead
Salary not disclosed
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Job Details
- Required Skills
- KubernetesCI/CDDevOpsDistributed Systems
Requirements
- 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, incorporating 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, 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.
Responsibilities
- 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.
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