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The Frontline Perception Company.
Software Development Engineer in Test – SDET
Location
United States
Posted
102 days ago
Salary
0
Seniority
Senior
Job Description
Software Development Engineer in Test – SDET
TurbineOne
• Design, build, and maintain automated test frameworks for FPS across on-prem and cloud environments. • Develop end-to-end, integration, regression, and performance test suites for multi-platform deployments (Linux, Windows, edge devices, containerized systems). • Own validation and verification processes for on-prem, air-gapped, and customer-specific deployments. • Build CI/CD testing pipelines to support rapid iteration while maintaining system reliability. • Create deployment validation scripts and health checks for infrastructure and application layers. • Simulate comms-contested and resource-constrained environments to test system resilience. • Collaborate closely with engineering, DevOps, and field integration teams to identify edge cases and prevent production defects. • Troubleshoot complex system-level issues spanning application, networking, containerization, and hardware interfaces. • Develop reproducible test environments using virtualization and container orchestration tools. • Document test strategies, deployment validation procedures, and release readiness criteria. • Continuously improve testing methodologies to support rapid scaling and evolving customer requirements.
Job Requirements
- 5+ years of experience in software testing, quality engineering, or SDET roles.
- Strong programming skills (Python preferred) and experience building automated test frameworks.
- Experience testing on-premise, air-gapped, or enterprise deployments.
- Strong understanding of Linux systems, networking fundamentals (LAN vs WAN, ssh, IP, DHCP), and containerization (Docker, Kubernetes).
- Experience validating software across multiple operating systems and hardware environments.
- Familiarity with CI/CD systems and infrastructure-as-code tools.
- Experience performance testing distributed systems or ML-driven applications.
- Excellent debugging and root-cause analysis skills across full-stack systems.
- Strong written and verbal communication skills.
- A college degree in Computer Science, Engineering, or related field is preferred.
Benefits
- Flexible work arrangements
- Professional development
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