OSS Engineer (US - Remote)

🏢 AXON-Networks · all 6 jobs
📍 United States
💰 USD 90,000 - 150,000 / annual
📅 Posted Sep 13, 2026 · via Himalayas
🏷 Open Source Engineer, Network Operations Engineer, Noc Tooling Engineer, Network Automation Engineer, DevOps Engineer, Oss Solution Engineer +2 more
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AXON Networks delivers a robust AI-driven, analytics-based orchestration platform and a wide portfolio of next-gen high-speed routers that leverage the newest Wi-Fi technologies. Together, these technologies give ISPs the ability to manage and troubleshoot their networks in real time, and to deliver an outstanding customer experience.

AXON Networks is a trusted strategic partner for its customers, helping them evaluate their current technologies and business models, and creating and executing strategies that enable them to innovate faster, accelerate their digital transformations, and strengthen their relationships with consumers.

AXON Networks is headquartered in Irvine, CA USA with Asia HQ in Singapore and also operating in Denmark, Spain and Vietnam.

The OSS Engineer will design, build and operate the Operations Support Systems (OSS), dashboards, data products and workflow automations that enable Network Operations to support cloud solutions and large fleets of customer-premises equipment (CPE), including broadband gateways, routers, ONTs and connected-home devices. This is a hands-on software and systems role for an engineer who understands how NOCs, service assurance, fault and performance management, device operations and service-provider support work in practice.

Reporting to the Network Operations Manager, you will turn repetitive work and fragmented operational data into secure, maintainable capabilities used by the NOC, Support and Operational Excellence teams. You will partner with cloud, DevOps, firmware, QA, Database Engineering, Product and Security, while remaining close to the operators who use the tools every day.

Role mandate

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Own the engineering lifecycle for internal OSS tools, operational dashboards, workflow automations and integrations assigned to the role.

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Translate the team’s pain points, controls and support needs into reusable, product-like capabilities—not disconnected one-off scripts.

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Unify cloud, application, network, customer and CPE data into trusted operational views and actionable workflows.

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Automate high-volume diagnosis, enrichment, notification, remediation, reporting and evidence-collection activities with safe controls and auditability.

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Increase the capacity and consistency of Network Operations so customer and managed-device growth does not require equivalent growth in manual effort.

What you will own

OSS platform and tool engineering

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Design, develop, test, deploy and maintain internal web applications, APIs, command-line tools and services for fault, performance, configuration, inventory and service-assurance use cases.

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Build tool capabilities around service-provider tenants, cloud services, CPE inventory, topology and dependencies, device reachability, firmware versions, alarms, incidents and customer impact.

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Apply sound software engineering practices: modular design, code review, automated tests, version control, CI/CD, release notes, rollback, telemetry and lifecycle ownership.

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Assess whether to build, buy or integrate a capability; integrate commercial and open-source OSS components without creating avoidable operational complexity.

Operational dashboards and data products

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Create role-based dashboards for executives, the NOC, Supportand service owners covering service health, incident performance, alert quality, SLA/SLO attainment, customer impact and managed-CPE fleet health.

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Correlate metrics, logs, traces, events, tickets, changes, customer/tenant data and device telemetry so operators can move from alarm to scope, likely cause and next action quickly.

Workflow automation and orchestration

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Automate alert enrichment, deduplication, correlation, ticket creation, routing, escalation, stakeholder notification, evidence collection and operational reporting.

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Measure adoption, success rate, time saved, error reduction and operator outcomes; retire fragile manual steps and low-value automations.

Cloud, CPE an

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