STAFF SW SYSTEMS ENGINEER 10302-Cloud Networking & Microservices (Java/Golang, AWS/Azure)
Extreme Networks · Hybrid
MeritLog read this listing from Extreme Networks's Lever job board and last checked it on September 12, 2026.
Source: the employer's Lever job board. Open the original listing for current details.
Job details
- Work model
- Hybrid
- Salary
- Not listed by source
- Location
- Chennai, India
- Company website
- www.extremenetworks.com
Hiring context
How this role compares at Extreme Networks
Extreme Networks has 144 live roles in MeritLog’s catalog across 9 job families, and 69 of them are in engineering. 16 of those listings publish a pay range, a disclosure rate of 11%.
Extreme Networks concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd do
- Technically lead the sustenance team responsible for maintaining, supporting, and enhancing Network Automation and Orchestration products.
- Own the overall sustenance engineering lifecycle, including defect resolution, product enhancements, maintenance releases, and associated design, code, and unit/integration test artifacts.
- Drive engineering excellence through effective debugging, root-cause analysis, code quality, regression testing, and automation of repetitive maintenance activities.
- Analyse production issues and customer-reported defects, establish root causes, and drive timely resolution in collaboration with cross-functional teams.
- Mentor team members on troubleshooting, design principles, coding standards, testing practices, and effective problem-solving.
- Collaborate closely with Product Management, Development, QA, Customer Support, and other engineering teams to ensure end-to-end resolution of product issues and successful delivery of enhancements.
- Complete exposure to the entire Product Life Cycle (MUST HAVE)
- Exceptional written and verbal communication skills
- Proficiency in local and remote debugging
- 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 modelling techniques using YANG, UML, JSON, and related tools
- 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
- Database concepts and deployment models: RDBMS, NoSQL, PostgreSQL, Redis, MariaDB
- Messaging services such as RabbitMQ and Kafka
- Working experience with webhook and web sockets
- OpenAPI, OpenConfig, NETCONF, Streaming Telemetry, GNMI, gRPC, and XMPP
- Knowledge of WLAN or L2/L3 OSI layer protocols: 802.1Q, LAGs, VxLAN, EVPN, ACLs, Route Policy, MPLS/VPLS, BGP, L2 Forwarding, and L3 Routing
What they're asking for
- Experience with network orchestration platforms and automation frameworksSkillPreferred
- Background in building scalable, highly available distributed systemsSkillPreferred
- Experience mentoring junior engineers and leading technical teamsSkillPreferred
- Familiarity with containerized deployment architectures and orchestration platformsSkillPreferred
- Prior experience with telemetry and streaming analyticsSkillPreferred
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
Job Description: Experience: 8-13 Years Key Responsibilities • Technically lead the sustenance team responsible for maintaining, supporting, and enhancing Network Automation and Orchestration products. • Own the overall sustenance engineering lifecycle, including defect resolution, product enhancements, maintenance releases, and associated design, code, and unit/integration test artifacts. • Drive engineering excellence through effective debugging, root-cause analysis, code quality, regression testing, and automation of repetitive maintenance activities. • Analyse production issues and customer-reported defects, establish root causes, and drive timely resolution in collaboration with cross-functional teams. • Mentor team members on troubleshooting, design principles, coding standards, testing practices, and effective problem-solving. • Collaborate closely with Product Management, Development, QA, Customer Support, and other engineering teams to ensure end-to-end resolution of product issues and successful delivery of enhancements. 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 modelling 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 WLAN or 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