Senior Engineer I, Software Development - Insight QA

About the Role

We are looking for an experienced Senior QA Engineer / QA Lead with 10–12 years of experience in cloud-based network management solutions to join our engineering team.

The role will focus on end-to-end quality engineering for a cloud-hosted network management platform , managing and monitoring networking devices such as Access Points, Switches and Routers .

The ideal candidate will have strong experience in testing cloud-managed networking solutions , with a combination of networking, AWS/cloud, REST APIs, Python automation, TypeScript/Playwright and end-to-end system testing .

This role requires someone who can understand and validate the complete solution across:

Network Device → LAN/WAN → Internet → AWS Cloud → Cloud Services/APIs → Database → Web/Mobile Application

The candidate should be comfortable troubleshooting issues across both the networking and cloud/application layers .

Key Responsibilities

Cloud Network Management Testing

• Own QA for a cloud-based network management platform from requirements through production.

• Test end-to-end workflows for cloud-managed Access Points, Switches, Routers and other network devices .

• Validate device onboarding, discovery, provisioning and configuration.

• Test device-to-cloud communication and cloud-to-device operations.

• Validate configuration synchronization between cloud and network devices.

• Test device monitoring, health status, statistics, alerts and notifications.

• Validate firmware/software upgrade workflows.

• Test remote configuration and management capabilities.

• Validate device connectivity, disconnect/reconnect and recovery scenarios.

• Test multi-device, multi-site and large-scale network management scenarios.

• Validate behavior under network failures, latency, packet loss and intermittent connectivity.

• Test cloud-managed networking workflows across different network topologies and environments.

Test Planning & Quality Ownership

• Review requirements, user stories, functional specifications and technical designs.

• Review ERDs and data models to understand relationships, dependencies and data flows.

• Participate in architecture and design reviews from a QA perspective.

• Identify functional, integration, data, networking and cloud risks.

• Develop test strategy, test plans, test scenarios and test cases .

• Define test scope, coverage, environments, dependencies and execution timelines.

• Create positive, negative, boundary, failure-recovery and end-to-end scenarios.

• Maintain requirements-to-test-case traceability.

• Review test cases and ensure adequate coverage.

Test Execution

• Execute functional, integration, system, regression and end-to-end testing.

• Perform cloud-to-device and device-to-cloud testing .

• Test networking devices together with cloud services and applications.

• Validate APIs, backend services, database state and UI behavior as part of end-to-end workflows.

• Perform interoperability and compatibility testing.

• Execute testing across different network configurations and connectivity conditions.

• Analyze failures across device, network, cloud and application layers.

API & Cloud Testing

• Strong hands-on experience with REST API testing and automation .

• Validate API request/response, authentication, authorization and business logic.

• Test APIs used for device provisioning, configuration, monitoring and management.

• Validate data consistency between APIs, cloud services, database and UI.

• Test asynchronous workflows, events, notifications and service-to-service communication.

• Test AWS-hosted cloud applications and services .

• Validate cloud services, microservices and distributed workflows.

• Analyze cloud logs, metrics, traces and application telemetry.

• Test reliability, availability, scalability and failure/recovery scenarios.

• Validate deployments across QA, staging and production environments.

Networking Expertise

Strong hands-on knowledge of networking is essential.

Experience with:

• TCP/IP

• IPv4 / IPv6

• DHCP

• DNS

• ARP

• ICMP

• HTTP/HTTPS

• TLS/SSL

• NAT

• Routing

• Switching

• VLAN

• QoS

• Ethernet

• WAN/LAN

• Wi-Fi technologies

• WPA2/WPA3

• Wireless roaming

• Network connectivity and troubleshooting

Experience with Wi-Fi 5/6/6E/7 is highly desirable.

Network Troubleshooting & Diagnostics

Hands-on experience with tools such as:

• Wireshark

• tcpdump

• ping

• traceroute

• iperf

• nslookup/dig

• Network packet capture and protocol analysis

Ability to troubleshoot issues across:

Device → LAN/WLAN → WAN/Internet → Cloud → API → Backend → Application

The candidate should be able to use packet captures, logs, API traces and cloud telemetry to determine the root cause of complex issues.

Test Automation

Python

• Strong hands-on experience developing Python-based test automation .

• Build automation for APIs, cloud workflows and network management functionality.

• Develop reusable test frameworks, libraries and utilities.

• Automate device onboarding, configuration, monitoring and management scenarios.

• Build regression automation for high-value customer workflows.

• Integrate automation into CI/CD pipelines.

• Analyze automation failures and improve framework reliability.

TypeScript / Playwright

• Experience with TypeScript/JavaScript for test automation.

• Hands-on experience with Playwright, Selenium or equivalent .

• Automate cloud-based web applications and network management workflows.

• Develop end-to-end UI + API automation.

• Build reusable automation components and utilities.

• Maintain scalable and reliable regression suites.

Defect Management & Root Cause Analysis

• Own defects from identification through closure.

• Create detailed defects with reproduction steps, logs, API traces, screenshots and packet captures where applicable.

• Participate in defect triage and prioritization.

• Collaborate with development, cloud, firmware and networking teams.

• Perform defect retesting and regression validation.

• Drive root-cause analysis for complex issues.

• Identify recurring defect patterns and recommend preventive actions.

• Ensure critical and customer-impacting issues are addressed before release.

Release & Production Quality

• Prepare test execution reports, defect summaries and release-quality metrics.

• Provide QA recommendation/release sign-off based on defined quality criteria.

• Perform production smoke testing and post-deployment validation .

• Validate critical network management workflows after production deployment.

• Monitor production health, logs, alerts and telemetry.

• Validate production fixes and hotfixes.

• Support customer escalations and production incident investigations.

• Reproduce production issues in controlled environments.

• Identify production quality trends and improve regression coverage.

AI-Assisted QA & Agentic AI

We encourage the use of modern AI technologies to improve quality engineering and test automation .

Experience with tools such as Claude, ChatGPT, GitHub Copilot or equivalent for:

• Test-case generation

• Automation development

• Code analysis

• Debugging

• Log analysis

• API test generation

• Test-data generation

• Defect analysis

• Test coverage analysis

is desirable.

Knowledge or experience with Agentic AI / AI agents for QA is a strong advantage, particularly for:

• Intelligent test generation

• Autonomous test execution

• API exploration

• Regression selection

• Failure analysis

• Root-cause analysis

• Test-result analysis

• Automated defect triage

CI/CD & DevOps

• Git / GitHub / GitLab

• Jenkins / GitHub Actions / GitLab CI

• CI/CD-based test execution

• Docker/container fundamentals

• Kubernetes knowledge is desirable

• Cloud deployment and troubleshooting

• Automated quality gates

What We Are Looking For

Must Have

• 10–12 years of QA / Quality Engineering experience

• Strong experience testing cloud-based network management solutions

…