Akamai Technologies
Akamai Technologies
Akamai Technologies tashkilotlarga raqamli tajribalarini himoya qilish, yetkazib berish va optimallashtirishga yordam beradigan bulutli xizmatlarni ishlab chiqadi. Kompaniya faoliyati API xavfsizligi va DDoS hujumlaridan himoyalanish kabi kiberxavfsizlik imkoniyatlari bilan bir qatorda, veb-ilovalarning ishonchliligi va unumdorligini oshirishga mo‘ljallangan bulutli hisoblash hamda kontent yetkazib berish texnologiyalarini qamrab oladi. Kompaniyaning taqsimlangan infratuzilmasi global miqyosda xavfsiz va yuqori unumli onlayn xizmatlarni boshqaradigan bizneslarni qo‘llab-quvvatlaydi.

Senior Backend Software Engineer, Big Data and AI at Akamai Technologies

Build cloud-native Big Data and AI systems that support intelligence-driven cybersecurity products at Akamai Technologies. Help develop real-time threat detection and response capabilities at scale.

Tavsif

  • Design and deploy high-scale, cloud-native Big Data systems on Azure
  • Improve data pipeline performance and reliability
  • Integrate AI and machine learning models into production for real-time insights
  • Advance AI initiatives from proof of concept through product delivery
  • Partner with product, UX, data science, and engineering teams
  • Develop products that help customers identify and respond to security threats
  • Use Kubernetes, Kafka, ELK, Prometheus, Grafana, and related technologies

Talablar

  • At least five years of backend or data engineering experience, focused on Big Data environments
  • Bachelor of Science in Computer Science or a related field
  • Advanced proficiency in Python, Java or Scala, Spring Boot, FastAPI, Flask, and Django
  • Hands-on experience with Kubernetes and Azure, AWS, or Google Cloud Platform
  • Experience designing large-scale data infrastructure and distributed systems
  • Knowledge of supervised and unsupervised learning, model lifecycles, and evaluation metrics
  • Experience with LLMs, agents, generative AI, or AI-powered security tools
  • Open-source or research contributions in machine learning or artificial intelligence

Imtiyozlar

  • Health, well-being, financial, and life benefits
  • FlexBase flexible work options, including remote, office-based, or hybrid arrangements

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