Software Engineer – Akamai Inference Cloud

Full-stack EngineerSoftware EngineerFull TimeRemoteMid LevelTeam 5,001-10,000H1B SponsorCompany SiteLinkedIn

Location

Poland

Posted

72 days ago

Salary

0

Seniority

Mid Level

Bachelor Degree2 yrs expExperience acceptedEnglishDistributed SystemsKubernetes

Job Description

Software Engineer – Akamai Inference Cloud

Akamai Technologies

• Implementing and maintaining platform components for Akamai Inference Cloud, with a focus on scalability, reliability, and operability. • Contributing to services across ingress, gateway, and data plane layers under the guidance of senior engineers. • Supporting the development of platform capabilities such as authentication, traffic handling, and API service functionality. • Helping build and improve data plane APIs, including interfaces aligned with OpenAI-compatible patterns and other supported standards. • Writing clean, maintainable, and well-tested code for cloud-native services running in containerized environments. • Assisting with observability by contributing metrics, logging, tracing, dashboards, and operational diagnostics for distributed systems. • Supporting Kubernetes-based deployment and orchestration of platform services in production environments. • Collaborating with teammates in code reviews, design discussions, testing, and incident support to improve platform quality and operational excellence.

Job Requirements

  • 2+ of software engineering experience, with a solid foundation in backend systems, cloud services, or platform engineering.
  • Show proficiency in building and debugging distributed or service-oriented applications.
  • Have familiarity with cloud-native technologies such as containers, Kubernetes, and modern deployment workflows.
  • Demonstrate experience developing APIs or backend services with attention to reliability, performance, and maintainability.
  • Show understanding of core operational practices including testing, CI/CD, monitoring, and troubleshooting.
  • Have familiarity with observability concepts such as metrics, logs, and tracing in production systems.
  • Bring interest in internet-facing platform services such as ingress, authentication, load balancing, or API infrastructure.
  • Show curiosity about AI inference platforms, model serving systems, or infrastructure used to support LLM and inference workloads.

Benefits

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

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