11 hours ago
Tel Aviv-Yafo, IsraelSenior
Responsibilities
- Design, develop, and deploy cloud-native, high-scale big data systems on Azure.
- Optimize data pipelines and work with large-scale data infrastructures and distributed systems architectures.
- Integrate AI and machine learning models into production for real-time insights.
- Drive AI initiatives from proof of concept through production features.
- Collaborate with product, UX, data science, and engineering teams to develop security tools.
- Contribute to open-source projects or research initiatives in machine learning and artificial intelligence.
Requirements
- 5+ years of backend or data engineering experience focused on big data environments.
- Bachelor of Science in computer science or a related field.
- Expertise in Python and Java or Scala, with experience in Spring Boot, FastAPI, Flask, and Django.
- Practical experience with Kubernetes and cloud platforms including Azure, AWS, and GCP.
- Experience with large-scale data infrastructure and distributed systems architecture.
- Strong understanding of supervised and unsupervised learning, model lifecycle, and evaluation metrics.
- Experience with LLMs, agents, generative AI, or AI-driven security tools.
Benefits
- Akamai provides benefits supporting health, well-being, finances, and life beyond work.
- FlexBase supports working from home, in an office, or through a combination of both.
Tech Stack
Apache KafkaAWSAzureDjangoFastAPIFlaskGoogle Cloud PlatformGrafanaJavaKubernetesPrometheusPythonScalaSpring Boot
Categories
About Akamai
Akamai builds content delivery, cloud security, and edge compute services for enterprises that run consumer and business web, API, and video workloads. The public company (NASDAQ: AKAM), founded in 1998 and headquartered in Cambridge, MA, operates a global CDN and security platform and sells via subscriptions and usage-based services. It expanded into cloud infrastructure by acquiring Linode in 2022, offering IaaS and managed Kubernetes.