System QA Engineer

At D-Fend Solutions, our people are our greatest strength — and technology is our passion. Our team of innovators and subject matter experts, including veterans of elite military intelligence technology units, is transforming the way organizations protect themselves from drone threats.

As the global leader in cyber-takeover counter-drone technology, we design and deliver advanced, software-defined solutions that empower our customers to detect, take control, and safely land unauthorized drones — with precision and reliability.

Every day, we push the boundaries of innovation to meet real-world security challenges across industries and environments. We’re proud of our cutting-edge technology, our global reach, and the impact we make in securing the skies.

We’re seeking passionate professionals who thrive in a fast-paced, creative, and collaborative environment — those who want to be part of the next generation of airspace security innovation.

Become a D-Fender! Work with the world’s leading cyber-takeover counter-drone technology provider and shape the future of safe airspace.

The Mission
Your role is to ensure the operational stability and resilience of the D-Fend Applications Ecosystem, encompassing National C2, MSC2, and Edge C2 platforms. You will rigorously test the seams where these distributed systems integrate. You are expected to execute with precision, learn the architecture deeply from the ground up, and evolve into the Domain Expert
for our multi-tiered command and control system. Critically, you will champion a "Shift-Left" quality approach: preventing defects during the design and planning phases rather than merely catching them after development is complete.

Actively participate in Product Requirements(PRD), High-Level (HLD) reviews to enforce system testability before code is written.

Execute and automate comprehensive test plans across Edge C2 nodes, MSC2 instances, and National C2 cloud environments.

Validate complex data flows and state synchronization across geographically distributed components.

Simulate degraded network conditions, forced disconnects, and VPN tunnel collapses to validate system recovery and data integrity.

Isolate integration breakdowns between Web Applications and backend microservices.

Analyze complex system logs using modern observability tools to provide developers with exact root-cause indicators and precise reproduction steps.

Integrate automated test suites into the CI/CD pipeline to ensure continuous validation.

Maintain clear, artifact-based documentation of test coverage, system behavior, and defect tracking.

BA/B.Sc. from a leading university.

5+ years of experience in QA, System QA, or Integration QA for complex distributed systems.

Required Certifications: Must hold recognized industry certifications proving baseline competence, including an active ISTQB Foundation Level certification (or equivalent) AND at least one recognized Networking or Security certification (e.g., CCNA, CompTIA Network+, or CompTIA Security+).

Test Automation: Hands-on experience maintaining, and scaling automated test suites (Python heavily preferred, Pytest, or similar frameworks).

Multi-Component Testing: Practical experience testing distributed systems and API- driven architectures.

Core Networking: Solid understanding of TCP/IP, port routing, VPNs, secure tunnels, and client-server models.

Infrastructure & Observability: Strong Linux proficiency. Experience with containerization (Docker/Kubernetes) and log aggregation/telemetry tools (e.g., ELK Stack, Grafana, Prometheus, Datadog).

Protocol Knowledge: Practical understanding of REST APIs and WebSocket communication.

Cross-Stack Validation: Experience testing modern Web applications and backend services simultaneously.

Experience working with SDR (Software Defined Radio) or RF-based systems.

Background in cybersecurity, secure communication protocols, or encrypted networks.

Experience with Non-Functional Testing (Performance, Load, Stress) using tools like JMeter or Locust.

SQL experience, specifically with analytical or time-series databases.

Military defense-system, intelligence sector, or field-deployment background.

Hands-on experience developing, maintaining, and scaling automated test suites.