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Software Development Engineer in Test – SDET at TurbineOne | JobVerse
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Software Development Engineer in Test – SDET
TurbineOne
Remote
Website
LinkedIn
Software Development Engineer in Test – SDET
United States
Full Time
6 hours ago
No H1B
Apply Now
Key skills
Cloud
Distributed Systems
Docker
Kubernetes
Linux
Python
ML
CI/CD
Communication
About this role
Role Overview
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.
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.
Tech Stack
Cloud
Distributed Systems
Docker
Kubernetes
Linux
Python
Benefits
Flexible work arrangements
Professional development
Apply Now
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