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Software Engineer - SDWAN Manager Full Stack Development (Hybrid)

External
Cisco logoCisco · Rtp, NC
Full-timeHybridToday
AngularCI/CDJavaPythonReactREST
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Responsibilities

  • Drive technical design and implementation of Java-based backend services and APIs handling configuration updates, telemetry ingestion, and real-time network state for large-scale deployments.
  • Architect and build frontend applications (React/Angular) for complex workflows such as network visibility, policy configuration, and diagnostics, ensuring performance at scale.
  • Lead the modernization of legacy components by breaking down monolithic services into modular, cloud-ready architectures.
  • Define and improve API contracts, data flows, and service interactions to reduce latency and improve reliability across distributed systems.
  • Debug and root cause analysis of production issues, including API failures, performance bottlenecks, and system inconsistencies.
  • Write and maintain unit, integration, and end-to-end tests to ensure feature reliability across releases.
  • Collaborate with cross-functional teams (Product, UX, QA, Platform) to deliver production-ready features.
  • Adoption/use of AI-driven development tools (e.g., Copilot/Codex) to improve developer productivity, automate repetitive tasks, and accelerate debugging and testing.

Requirements

  • Bachelors + 5 years of related experience, or Masters + 3 years of related experience, or PhD + 0 years of related experience with strong full stack development skills.
  • Expertise in Java and Spring/Spring Boot and have built APIs that handle real-world workloads (e.g., high request volume, concurrent updates).
  • Experience in designing and consuming REST APIs, including handling error scenarios, retries, and performance considerations.
  • Experience in building frontend applications using React or Angular, delivering interactive workflows such as dashboards, forms, or configuration interfaces.
  • Expertise in debugging production issues , tracing API failures, and identifying performance bottlenecks.
  • Hands-on experience with AI-powered developer tools (e.g., Copilot, Codex, or similar) to improve coding speed, debugging, or test generation.
  • Experience with networking domains such as network management system.
  • Familiarity with cloud-native deployment models and public cloud platforms.
  • Knowledge of CI/CD pipelines, automated testing, and modern quality engineering practices.
  • Exposure to Python or scripting for automation and tooling.
  • #sdwanhiring
  • Why Cisco?
  • We are Cisco, and our power starts with you.
  • Message to applicants applying to work in the U.S. and/or Canada:
  • The starting salary range posted for this position is $126,500.00 to $182,000.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.

Benefits

Equity / stock options

Additional Information

The application window is expected to close on: 07/10/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . This position is hybrid out of our RTP, NC location. Meet the Team Our Routing SD-WAN Group is at the forefront of innovation, delivering intelligent, secure, and scalable WAN edge solutions that empower enterprises to connect and protect their networks from the edge to the cloud. The SDWAN Manager engineering team builds the management plane for Cisco SD-WAN through a highly scalable distributed systems architecture that powers services, APIs, workflows, and user experiences for large-scale enterprise and service provider networks. The team develops capabilities that help customers configure, operate, secure, monitor, and troubleshoot their deployments. These services, APIs, UI, and operational workflows directly shape the quality, usability, and overall customer experience of the platform. With AI embedded across the platform, SDWAN Manager enables more intelligent operations, faster troubleshooting, and more efficient decision-making at scale.


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