Senior II Software Engineer Lead
New
A
AkamaiAI inference
Remote/Poland; FlexBase gives employees the choice to work from their home, their office, or both (in the country advertised).Full-TimeLead
Salary not disclosed
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Job Details
- Languages
- En C1
- Experience
- 8+ of software engineering expertise
- Required Skills
- KubernetesCI/CDDevOpsDistributed Systems
Requirements
- Bring 8+ years of software engineering expertise.
- Have advanced proficiency in distributed systems, cloud services, and platform engineering.
- Have deep experience building and operating internet-facing platform services such as API gateways, ingress layers, reverse proxies, or service infrastructure.
- Demonstrate expertise in cloud-native architectures, containerization, and Kubernetes orchestration.
- Have experience building scalable, high-performance systems using DevOps practices, CI/CD pipelines, and infrastructure-as-code.
- Demonstrate technical leadership, code quality guidance, and delivery on complex platform challenges.
- Have experience designing and operating API platforms, including authentication, authorization, traffic management, and service protection.
- Have extensive expertise in observability, monitoring, alerting, and debugging for large-scale distributed systems.
- Have experience with capacity planning, performance analysis, and reliability engineering for production services.
Responsibilities
- Lead the design and implementation of critical Akamai Inference Cloud platform components.
- Drive technical decisions on tools, frameworks, and architecture for secure, scalable inference platform services.
- Evolve authentication, load balancing, rate limiting, firewall integration, and external 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 orchestration patterns for efficient and resilient containerized service deployment.
- Mentor engineers through code reviews, design discussions, and technical problem-solving.
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