QA and Automation Engineer
Posted 26 days ago · 0 applicants
Saving, applying or scoring takes a few seconds to set up your free account.
The role in plain words
- B.Sc. in Computer Science, Software Engineering, Electrical Engineering, or equivalent experience
- 1+ years of experience in software QA, validation, or test automation for complex systems
- Hands-on programming or scripting ability in Python, Bash, or a similar language used for automation
- Familiarity with Linux environments, debugging, and log analysis
- Basic understanding of networking, distributed systems, or infrastructure software
- Exposure to automation frameworks, CI pipelines, or test infrastructure tooling
- Familiarity with telemetry, observability, or monitoring systems
- Background in networking technologies such as Ethernet, InfiniBand, or NVLink-related environments
- Experience working with containerized or microservice-based systems
- Interest in improving test quality through automation, tooling, and scalable validation practices
Extracted from the job description · kept up to date automatically
Who this suits
Full job description
Original listing · kept for referenceWe are looking for a QA and Automation Engineer to join the NMX project team. NMX is a unified management, monitoring, and analytics platform for cloud and data center telemetry, built around key subsystems for telemetry collection, event-driven data processing, and control-plane management of networked systems.
This role is a strong fit for an early-career engineer who enjoys learning complex systems, building reliable automated tests, and working closely with developers to improve product quality.
What You’ll Be Doing
• Design, execute, and maintain manual and automated test coverage for NMX features across functional, integration, and end-to-end scenarios.
• Validate core NMX workflows across telemetry, monitoring, analytics, and control-plane behaviors in data center and cluster environments.
• Develop and improve automation scripts, regression suites, and validation flows to increase coverage, stability, and execution efficiency.
• Investigate test failures, analyze logs and system behavior, reproduce issues, and work with developers to drive resolution.
• Collaborate with QA, software, DevOps, and architecture teams to support continuous integration and release readiness.
• Contribute to the team’s automation infrastructure, tools, and methodologies, in line with current QA automation team responsibilities around frameworks, infrastructure, and DevOps support.
What We Need To See
• B.Sc. in Computer Science, Software Engineering, Electrical Engineering, or equivalent experience.
• 1+ years of experience in software QA, validation, or test automation for complex systems.
• Hands-on programming or scripting ability in Python, Bash, or a similar language used for automation.
• Familiarity with Linux environments, debugging, and log analysis.
• Basic understanding of networking, distributed systems, or infrastructure software.
• Good collaboration and communication skills, with the ability to work closely with developers and other QA engineers.
Ways To Stand Out From The Crowd
• Exposure to automation frameworks, CI pipelines, or test infrastructure tooling.
• Familiarity with telemetry, observability, or monitoring systems.
• Background in networking technologies such as Ethernet, InfiniBand, or NVLink-related environments, which are relevant to NMX scope.
• Experience working with containerized or microservice-based systems; NMX Manager is described as a microservice architecture built around a message bus and Kubernetes-based orchestration.
• Interest in improving test quality through automation, tooling, and scalable validation practices.
, , JR2020508
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- B.Sc. in Computer Science, Software Engineering, Electrical Engineering, or equivalent experience, 1+ years of experience in software QA, validation, or test automation for complex systems, Hands-on programming or scripting ability in Python, Bash, or a similar language used for automation, Familiarity with Linux environments, debugging, and log analysis, Basic understanding of networking, distributed systems, or infrastructure software