Описание

This role involves ensuring complex distributed systems integrate and validate seamlessly. The team focuses on deeply understanding system behavior, investigating technical challenges, and continuously improving product quality and reliability, 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

Nice to have

Python or another scripting language
Test automation experience
Experience with PyTest or similar frameworks
Familiarity with Docker and Kubernetes
Telecom industry experience
Knowledge of Open RAN, 4G/5G, or cloud-native telecom solutions
Experience with Grafana, Prometheus, Kibana, or Elasticsearch

We offer

Hybrid work mode
Full-time employment

Hiring process

Parallel Wireless may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information