Lead design and operation of a massively distributed edge compute platform using hyperscaler services and Kubernetes. Design external APIs, optimize L7 traffic routing, ensure high availability, fault tolerance, security and data privacy. Collaborate across AI/ML, hardware, network, and security teams, present scalability and reliability metrics to executives, mentor engineers, and establish architectural governance.
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.
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.
- 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.
Advancing connectivity to secure a brighter world.
Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.
Learn more about life at Nokia.
Our recruitment process
We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.
If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.
The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.
Some of our benefits in US:
- Corporate Retirement Savings Plan
- Health and dental benefits
- Short-term disability, and long-term disability
- Life insurance, and AD&D – Company paid 2x base pay
- Optional or Supplemental life and AD&D insurance (Employee/Spouse/Child)
- Paid time off for holidays and Vacation
- Employee Stock Purchase Plan
- Tuition Assistance Plan
- Adoption assistance
- Employee Assistance Program/Work Life Resource Program
The above benefits exclude students.
Disclaimer for US/Canada
Nokia Maintains broad annual base salary ranges for its roles in order to account for variations in knowledge, skills, experience and market conditions, and with consideration to internal peer equity. Check the salary ranges in the job info section for this role.
All North America job posts will post for a minimum of 7 calendar days and up to 180 days or until candidate/s identified.
Similar Jobs
.png)
Big Data • Cloud • Digital Media • Machine Learning • Mobile • Software • Industrial
Develop and maintain enterprise-level cloud services for Autodesk's AEC platform, collaborating with cross-functional teams to enhance product performance and efficiency.
Top Skills:
Api GatewayAWSDockerDynamoDBEc2EcsJavaKubernetesLambdaRdsS3
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
As a Staff Fullstack Software Engineer, you'll optimize user monetization systems at Dropbox, leading technical strategies for checkout and subscriptions while mentoring engineers.
Top Skills:
GoPythonReactTypescript
Fintech • Financial Services
Lead end-to-end data science initiatives: design, deploy, and monitor ML/statistical models for credit risk, pricing, collections and fraud. Collaborate cross-functionally to integrate models into production, define model development standards, mentor team members, and maintain scalable ML pipelines and monitoring systems to drive measurable business impact.
Top Skills:
ArizeAWSDatabricksGitMetaflowPythonSagemakerSnowflakeSQLTaktileTecton
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
