Cloud Validation SME

Insight Global

Columbus, IN, United States

2 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

4 years minimum

Working hours

Regular working hours

Job source

www.juju.com

Tech stack

Application Programming Interfaces (APIs) Amazon Web Services Systems Engineering Microsoft Azure Cloud Computing Cloud Engineering DevOps Distributed Systems Enterprise Content Management Failure Mode Effects Analysis MongoDB Octopus Deploy

+8 more

Cloud Services Software Testing Automation Framework Data Streaming Strategies of Testing System-level Testing Event Driven Architecture Data Pipelines Dynatrace

Job description

Day-to-Day

Knowledge of PFMEA, DVP&R, ESW, and PLM processes

Define and own the end-to-end validation strategy for cloud-connected telematics systems

Develop system-level test plans, test cases, and validation frameworks

Collaborate with cloud, device, and data teams to clarify requirements and interfaces

Support system engineering activities including cloud architecture and requirements

Identify gaps in current validation approaches and propose scalable methodologies

Drive issue investigation and root cause analysis across distributed systems

Contribute to automation strategies for APIs, data pipelines, and simulations

Improve observability, reliability, and performance validation practices

Align stakeholders across cloud, device, data, and OEM partner teams

Act as a technical bridge translating complex challenges into actionable improvements, Insight Global is seeking a Cloud Validation Subject Matter Expert (SME) for a top automotive and telematics client. This candidate will own the end-to-end validation strategy for cloud-connected systems, working across cloud infrastructure, devices, and data pipelines to ensure reliability, scalability, and system quality. The ideal candidate brings a strong system engineering mindset, experience validating distributed cloud systems, and the ability to influence cross-functional teams to adopt standardized, scalable validation practices.

Requirements

4-7 years of experience with IoT, telematics, or connected systems

Experience defining and owning end-to-end validation strategies

Cloud infrastructure validation experience (AWS, Azure, or similar)

API contract testing, schema validation, and data pipeline validation experience

Experience with distributed systems issue investigation and root cause analysis

Understanding of data flow across connected devices, ECMs, and cloud services

Ability to translate ambiguous requirements into structured test plans

Hands-on experience with Dynatrace, MongoDB, and ArgoCD Strong background in system engineering or system-level validation (not component-only testing)

Familiarity with CAN / J1939, telematics devices, or vehicle systems

Experience with test automation frameworks

Knowledge of event-driven architectures and modern data pipelines

Exposure to DevOps practices and CI/CD pipelines

Comfortable challenging legacy processes and driving scalable improvements