Lead design and operation of a massively distributed edge compute platform using hyperscaler services and Kubernetes. Build external APIs, optimize high-throughput L7 traffic routing, ensure fault tolerance and security, present scalability metrics, mentor engineers, run design reviews, and collaborate across AI/ML, hardware, network, and security teams.
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 at Nokia - Oracle TEST
Information Technology
Lead ownership of observability practices and instrumentation standards across distributed AI infrastructure. Manage the observability stack, ensure proper service instrumentation, build data pipelines (OLAP, Kafka, ETL, streaming), collaborate with SRE, platform, and UI/UX to create dashboards, explore graph/semantic enhancements, mentor teams, and drive adoption of industry tools like Prometheus, OpenTelemetry, Grafana, Tempo, and Victoria Metrics.
Top Skills:
Cloud TechnologiesEtl PipelinesFlinkGrafanaGraph DatabasesKafkaKnowledgebaseKubernetesOlap DatabasesOpentelemetryPrometheusSemantic LayersSparkTempoVictoria Metrics
Information Technology
Lead and grow a QA team, design and implement test strategy with E2E automation and scale testing, build test automation, run scale tests with device simulators and traffic generators, apply chaos engineering to validate distributed systems resilience, integrate testing with development, analyze results, and mentor team members.
Top Skills:
Chaos EngineeringCloudDevice SimulatorsEnd-To-End (E2E) Test AutomationKubernetesNokia Quality ProcessesRegression TestingScale TestingTest Automation FrameworksTraffic Generators
Information Technology
Develop and maintain test automation frameworks, execute end-to-end automated tests, integrate automation into the SDLC, perform resilience/chaos testing, manage test environments (cloud and remote hardware), analyze results, and mentor junior engineers to improve test quality and efficiency.
Top Skills:
AIChaos EngineeringCloud PlatformsDistributed SystemsKubernetesRemote Hardware ManagementTest Automation Frameworks
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
