Senior AI-Driven Integration & Validation Engineer

At Parallel Wireless, we're redefining mobile networks by delivering cloud-native Open RAN solutions that enable operators worldwide to build smarter, more flexible, and cost-effective networks. Our Integration & Validation team plays a critical role in ensuring that complex distributed systems work seamlessly together before reaching our customers. We don't just verify functionality—we develop a deep understanding of how the entire system behaves, investigate complex technical challenges, and continuously improve the quality and reliability of our products. We're looking for engineers who are curious, innovative, and passionate about solving difficult system-level problems while embracing AI as part of modern engineering.

Responsibilities

Design and execute end-to-end integration and validation scenarios across multiple product domains; Validate new features and ensure seamless interoperability between distributed system components; Investigate complex cross-component issues through deep technical analysis and root-cause investigation; Analyze application and system logs to identify issues and drive resolution; Develop a strong understanding of system architecture, data flows, and interactions between services; Collaborate closely with Software Engineers, Architects, Product Managers, and cross-functional engineering teams; Participate in feature planning by providing an integration and validation perspective early in the development lifecycle; Continuously improve validation methodologies, engineering processes, and overall product quality; Leverage AI tools to accelerate troubleshooting, technical research, documentation, and engineering productivity; Challenge existing approaches and introduce innovative ideas that improve engineering efficiency and product quality

Requirements

4+ years of experience in System Integration, System Validation, or Software Quality Engineering; Strong experience working with complex distributed software systems; Experience integrating AI tools into engineering workflows; Experience working in Agile development environments; Strong understanding of Linux operating systems; Solid networking knowledge, including TCP/IP, DNS, HTTP/HTTPS, routing, and switching; Experience working with REST APIs, JSON, and YAML; Experience analyzing application and system logs; Excellent troubleshooting and root-cause analysis skills; Strong analytical thinking with the ability to understand complex system architectures; Self-driven, accountable, and comfortable working independently; Curiosity to understand how systems work, not just whether they work; B.Sc. in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or a related technical discipline

Nice to have

Experience with Python or another scripting language; Experience with test automation frameworks such as Robot Framework or PyTest; Docker and Kubernetes experience; Experience with telecom technologies (4G, 5G, Open RAN); Familiarity with cloud-native architectures and microservices; Experience using observability platforms such as Grafana, Prometheus, Kibana, or Elasticsearch