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Sr. Principal Software Engineer

Nokia
USA
Full-time
Senior · 5+ years experience
Onsite
Discovered 2 weeks ago
awsazuregcpkubernetes

Full Job Posting

Responsibilities

  • Design and implement a massively distributed edge compute platform, ensuring high availability and fault tolerance.
  • Develop external-facing APIs, considering design, versioning, and interactions with customers and partners.
  • Optimize high-throughput L7 traffic routing for efficient data processing.
  • Utilize Kubernetes internals for resource management and container deployment.
  • Collaborate with a team of engineers to build and operate the platform, sharing knowledge and best practices.
  • Translate distributed systems complexity into clear architectural tradeoffs
  • Communicate infrastructure risks and mitigation strategies to executive stakeholders
  • Manage technical requirements from customers’ needs.
  • Collaborate effectively with AI/ML systems engineers, Hardware architects, Network engineering teams, Security and compliance teams
  • Present scalability models and reliability metrics in measurable, defensible terms
  • Mentor engineering teams on distributed systems best practices
  • Anticipate internal and external business challenges and / or regulatory issues and drive process, product or service improvements that create competitive advantage.
  • Stay updated with the latest trends and technologies in distributed systems and edge computing.
  • Establish design reviews and architectural governance standards
  • Ensure the platform's security and data privacy, adhering to industry standards and regulations.
  • Conduct code reviews and provide constructive feedback to maintain code quality.
  • Collaborate effectively wit

Qualifications

  • Extensive experience (5+ years) with hyperscaler technologies (AWS, Azure, GCP) and managed services.
  • Have worked at or intimately with AWS, Azure, GCP, or similar-scale platforms - built internal cloud, compute, or infrastructure services
  • Proven track record in designing and operating large-scale distributed systems.
  • Strong fundamentals in distributed systems, including consistency models and fault tolerance.
  • Proficiency in API design and development, with an understanding of versioning and SDK foundations.
  • Experience with Kubernetes and containerization technologies for resource management.
  • Solid understanding of high-throughput traffic routing and network protocols.
  • Ability to work independently and manage complex technical tasks.
  • Excellent communication and collaboration skills, with a willingness to share knowledge.
  • Familiarity with security best practices and data privacy regulations.
  • Master's degree in Computer Science, Engineering, or a related field. PhD preferred.

Preferred Qualifications

  • Master's degree in Computer Science, Engineering, or a related field. PhD preferred.

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