Extreme Networks
Website:
extremenetworks.com
Job details:
Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.
Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.
Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.
Position: Staff Software Systems Engineer – Technical Lead – Cloud Networking
Domain: Cloud Networking and Orchestration
Experience Level: 8-12+ Years
Qualification: B.E/B.Tech/MS/M.Tech or equivalent in CS/EEE/ECE
Location: Only Chennai
About The Role
We are seeking an accomplished Staff Software Systems Engineer – Technical Lead to drive the development of our Network Automation and Orchestration products. In this strategic technical leadership role, you will own the end-to-end design and development of cloud networking solutions, mentor technical teams, and establish best-in-class engineering practices. Your expertise in microservices, containerization, and cloud-native development will be instrumental in shaping the future of Extreme's cloud networking platform.
Key Responsibilities
- Technically lead the team of professionals to deliver Network Automation and Orchestration products
- Own the overall design and development artifacts including functional and design specifications, code, and unit/integration test cases
- Introduce and passionately drive the implementation of best-in-class engineering practices such as Test-Driven Development and Design Principles
- Develop Epics, Stories, and Tasks for execution and collaborate across teams for complete solution integration
- Establish technical standards and mentor team members in adherence to best practices
- Drive architectural decisions and technical implementations for scalable, maintainable solutions
Required Skills and Expertise Core Competencies
- Complete exposure to the entire Product Life Cycle (MUST HAVE)
- Exceptional written and verbal communication skills
- Proficiency in local and remote debugging
Architecture and Design
- Microservices-based architecture and best practices
- Hands-on experience with Docker containers, Kubernetes (K8s, K3s) clusters, and Helm charts
- Exposure to cloud application development
- Sound data and information modeling techniques using YANG, UML, JSON, and related tools
Programming and Development
- Strong coding and debugging experience with Java or Golang
- Linux OS proficiency, advanced data structures, and IPC mechanisms
- Intricate understanding of multi-threading, routines, network programming, and object-oriented methodologies
- Agile Development Model with CI/CD, Jenkins pipeline, and Git environment
Data Management and Messaging
- Database concepts and deployment models: RDBMS, NoSQL, PostgreSQL, Redis, MariaDB
- Messaging services such as RabbitMQ and Kafka
- Working experience with webhook and web sockets
Networking and Protocols
- OpenAPI, OpenConfig, NETCONF, Streaming Telemetry, GNMI, gRPC, and XMPP
- Knowledge of L2/L3 OSI layer protocols: 802.1Q, LAGs, VxLAN, EVPN, ACLs, Route Policy, MPLS/VPLS, BGP, L2 Forwarding, and L3 Routing
Preferred Qualifications
- Experience with network orchestration platforms and automation frameworks
- Background in building scalable, highly available distributed systems
- Experience mentoring junior engineers and leading technical teams
- Familiarity with containerized deployment architectures and orchestration platforms
- Prior experience with telemetry and streaming analytics
What We Offer
Extreme Networks offers an innovative environment where you will drive transformative cloud networking solutions. You will work alongside highly skilled engineers, collaborate with cross-functional teams, and have significant influence over product architecture and technical direction. This role offers the opportunity to shape the future of enterprise networking while establishing engineering excellence across the organization.
Equal Opportunity
Extreme Networks is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Extreme Networks, Inc. ( EXTR ) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.
We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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