Senior AI-Driven Integration & Validation Engineer

What you'll do:

• 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

What you should have:

• 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.

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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.

Education:

• in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or a related technical discipline.

Parallel Wireless is expanding the ecosystem for Open RAN with the GreenRAN™ energy-efficient Hardware-Agnostic technology. Deployed worldwide, our comprehensive 2G/3G/4G/5G Macro RAN solutions enhance network security while reducing operating expenses. As pioneers of Open RAN, we prioritize innovation, flexibility, and sustainability to help build a more connected, and green networks. Headquartered in the USA with global R&D centers, we are proud to serve over 60 customers worldwide and have been recognized with over 100 industry awards. Our mission is to accelerate GSMA’s Mobile Net Zero initiative by reducing TCO and driving innovation across the telecom more at.Parallel Wireless embraces diversity and equality of opportunity. We are committed to building inclusive and diverse teams representing all backgrounds, with a wide range of perspectives, and empowering industry-leading skills. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification Wireless does not accept unsolicited resumes or applications from agencies or individuals. Please do not forward resumes to our jobs alias, Parallel Wireless employees, or any other company location. Parallel Wireless is not responsible for any fees related to unsolicited resumes/applications.