Nokia

Makes network gear for carriers and data centers

Sr. Principal Software Engineer

Backend EngineeringConfirmed live in the last 24 hours

Full-timeIn-person

About the Job

Requirements

At least 5 years of experience with hyperscaler technologies such as AWS, Azure, or Google Cloud Platform and managed services.
Experience working at or closely with AWS, Azure, Google Cloud Platform, or similar-scale platforms, including building internal cloud, compute, or infrastructure services.
A proven track record designing and operating large-scale distributed systems.
Strong fundamentals in distributed systems, including consistency models and fault tolerance.
Proficiency in application programming interface design and development, including versioning and software development kit foundations.
Experience with Kubernetes and containerization technologies for resource management.
A solid understanding of high-throughput traffic routing and network protocols.
Ability to work independently and manage complex technical tasks.
Familiarity with security best practices and data privacy regulations.
A Master’s degree in Computer Science, Engineering, or a related field.

Responsibilities

Design and implement a massively distributed edge compute platform with high availability and fault tolerance.
Develop external-facing application programming interfaces, considering design, versioning, and interactions with customers and partners.
Optimize high-throughput Layer 7 traffic routing for efficient data processing.
Use Kubernetes internals for resource management and container deployment.
Collaborate with engineers to build and operate the platform while 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 based on customer needs.
Collaborate with artificial intelligence and machine learning systems engineers, hardware architects, network engineering teams, and 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 or regulatory issues and drive process, product, or service improvements that create competitive advantage.
Stay current with trends and technologies in distributed systems and edge computing.
Establish design reviews and architectural governance standards.
Ensure platform security and data privacy while adhering to industry standards and regulations.
Conduct code reviews and provide constructive feedback to maintain code quality.

Desired Qualifications

A PhD.

We are looking for an experienced software engineer to lead the development of our distributed edge compute platform. This role demands a deep understanding of hyperscalers like AWS, Azure, or GCP, and the ability to design and operate large-scale systems. The successful candidate will contribute to the platform's architecture, ensuring fault tolerance, consistency, and efficient traffic routing.

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.

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.

Salary Range: US Salary Range- USD 203,000 till USD 335,000 per annum Canada Salary Range- CAD 187,000 till CAD 275,000 per annum * Plus, potential incentive/variable compensation for eligible roles.

About the Company

Nokia

Makes network gear for carriers and data centers

Nokia makes the equipment and software that mobile carriers, cloud companies, and businesses use to run networks, from cell-tower radios to fiber links between AI data centers. From 1998 to 2011 it was the world's largest mobile phone maker; it sold that business to Microsoft in 2014, and HMD Global, a separate company, makes Nokia-branded phones under license. Its network unit sells optical systems that send data over fiber, internet routers, and broadband gear, and its mobile unit sells radios and the core software that runs 5G networks. Nokia earns money from equipment and service contracts and from licensing its patents to phone makers and carmakers. It was founded in 1865 as a wood pulp mill and is based in Espoo, Finland.

Company size: 10,001+
Company stage: IPO
Headquarters: Espoo, Finland
Founded: 1865

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