The application window is expected to close on: 8/28/2025.
NOTE: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
Your Impact
As a technical leader, you will play a critical role in shaping the direction and success of our software engineering initiatives for the Cisco 8000 Platform, leveraging the SONiC network operating system. You will be responsible for designing, developing, and testing data-center features while providing both technical and people leadership to the engineering team. Your influence will extend across architecture, project execution, and talent development, ensuring the delivery of robust, scalable solutions and fostering a high-performing environment.
Key responsibilities include:
Mentoring and developing engineering talent, fostering a culture of continuous learning and professional growth within the SONiC Group.
Providing expert technical guidance on infrastructure, manageability, and distributed systems design and implementation.
Leading architecture discussions, conducting code reviews, and guiding team members to deliver high-quality solutions.
Owning project deliverables, managing schedules, and tracking progress to ensure timely execution.
Collaborating closely with cross-functional teams, including development, product management, and security.
Embodying and promoting Cisco’s culture and values as a role model.
Minimum Qualifications
Bachelor’s degree in a STEM field.
10+ years of experience in embedded software development using C, C++, Go, and/or Python.
10+ years of experience with Linux or infrastructure software (such as gNMI, in-memory databases).
7+ years of experience designing and implementing distributed systems.
4+ years of experience in a leadership role within an engineering team.
Preferred Qualifications
Experience with network operating systems in the Linux user space (e.g., SONiC).
Proficiency with modern development tools such as GIT, Jira, Jenkins, and other CI/CD pipeline tools.
Familiarity with virtualization and containerization technologies (e.g., KVM/Qemu, Docker, Kubernetes).
Strong skills in performance tuning and optimization.