Device Automation Test Engineer

Device Automation Test Engineer

***Must include Linkedin profile in submission***
Technical Skills:
• Execute E2E testing across devices, backend services, data pipelines, browser UI and supporting systems.
• Programming and automation experience with Python and Java
• Experience with device automation frameworks including XCUI
• Ability to analyze logs and debug issues across distributed systems.
• Understanding of backend services and system integrations.
• Experience validating workflows involving devices, backend services, and data pipelines.
• Good understanding of database connectivity and data access, connecting to data sources and SQL
• Familiarity with containerization, cloud platforms such as AWS or Google Cloud Platform, and data pipeline technologies such as Kafka and Spark
• Ability to work with internal test frameworks and automation infrastructure.
• Familiarity with E2E testing methodologies and system level validation.
• Strong debugging skills and ability to independently triage issues.

Role Descriptions: Scope of Work Execute E2E testing across devices| backend services| data pipelines| browser UI and supporting systems.Validate functionality of unreleased device features and server side platform changes.Develop| maintain| and manual test scenarios.Investigate failures and perform root cause triage across the system stack including devices| backend services| and data pipelines.Analyze logs and system telemetry to identify the source of issues.Work with internal engineering teams to provide actionable defect reports with clear reproduction steps and supporting diagnostics.Understand and interact with test frameworks and tools written in Python| JavaScript| and device automation frameworks such as XCUI.Support validation of cross system workflows involving devices| backend services| and data pipelines.Contractors are expected to independently triage issues and identify probable failure points before escalating to internal engineering teams.Technical RequirementsMust have strong technical capability across the following areas.Programming and automation experience with Python and JavaExperience with device automation frameworks including XCUIAbility to analyze logs and debug issues across distributed systems.Understanding of backend services and system integrations.Experience validating workflows involving devices| backend services| and data pipelines.Good understanding of database connectivity and data access| connecting to data sources and SQLFamiliarity with containerization| cloud platforms such as AWS or Google Cloud Platform| and data pipeline technologies such as Kafka and SparkAbility to work with internal test frameworks and automation infrastructure.Familiarity with E2E testing methodologies and system level validation.Strong debugging skills and ability to independently triage issues.
Essential Skills: Scope of Work Execute E2E testing across devices| backend services| data pipelines| browser UI and supporting systems.Validate functionality of unreleased device features and server side platform changes.Develop| maintain| and manual test scenarios.Investigate failures and perform root cause triage across the system stack including devices| backend services| and data pipelines.Analyze logs and system telemetry to identify the source of issues.Work with internal engineering teams to provide actionable defect reports with clear reproduction steps and supporting diagnostics.Understand and interact with test frameworks and tools written in Python| JavaScript| and device automation frameworks such as XCUI.Support validation of cross system workflows involving devices| backend services| and data pipelines.Contractors are expected to independently triage issues and identify probable failure points before escalating to internal engineering teams.Technical RequirementsMust have strong technical capability across the following areas.Programming and automation experience with Python and JavaExperience with device automation frameworks including XCUIAbility to analyze logs and debug issues across distributed systems.Understanding of backend services and system integrations.Experience validating workflows involving devices| backend services| and data pipelines.Good understanding of database connectivity and data access| connecting to data sources and SQLFamiliarity with containerization| cloud platforms such as AWS or Google Cloud Platform| and data pipeline technologies such as Kafka and SparkAbility to work with internal test frameworks and automation infrastructure.Familiarity with E2E testing methodologies and system level validation.Strong debugging skills and ability to independently triage issues.
Desirable Skills:
Keyword:
Skills: Digital : Kafka~Digital : QET SDET Technology
Experience Required: 8-10