Validation Engineer

🚀 Hiring: Validation Engineer – Telematics / IoT

📍 Location: Columbus, Indiana (Onsite)

💼 Experience: 4–7 Years

🛂 Visa: Open

We are looking for a Cloud Systems Validation Engineer with strong experience in Telematics/IoT and cloud-based system validation. The ideal candidate will drive end-to-end validation strategies for cloud-connected telematics systems and collaborate across cloud, device, and data teams.

🔧 Key Responsibilities

• Define and own end-to-end validation strategy for cloud-connected telematics systems
• Develop test plans, test cases, and validation frameworks across cloud sub-systems
• Work closely with cross-functional teams to clarify system requirements and interfaces
• Support system engineering activities including cloud architecture and requirements
• Identify gaps in validation approach and propose scalable test methodologies
• Drive issue investigation and root cause analysis across distributed systems
• Contribute to automation strategy for APIs, data pipelines, and simulations
• Provide technical guidance to improve observability, reliability, and performance validation
• Drive alignment across stakeholders to improve system quality and validation processes
• Facilitate technical discussions across cloud, device, and OEM partners
• Act as bridge between teams to translate technical challenges into actionable improvements

✅ Required Skills

• 4–7 years of experience in (Telematics OR IoT OR Connected Systems)
• Strong System Engineering & System-level validation experience
• Experience with PFMEA, DVP&R, ESW, PLM
• Cloud infrastructure validation experience
• API contract testing, schema validation, and data pipeline validation
• Experience with AWS OR Azure OR GCP
• Hands-on experience with Dynatrace, MongoDB, ArgoCD
• Understanding of data flow across connected devices, ECM, and cloud services
• Ability to convert ambiguous requirements into structured validation plans

⭐ Preferred Skills

• CAN / J1939 knowledge
• Telematics devices or vehicle systems experience
• Test automation frameworks
• Data pipelines, APIs, event-driven architectures
• DevOps / CI-CD exposure
• Strong analytical and problem-solving skills