Information Technology_USA - USA_Enterprise Architect

Real Soft Inc.
Sunnyvale, CA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) JavaScript (Programming Language) Amazon Web Services Automation of Tests Computer Programming Data Architecture Data Security Database Connection Software Debugging Distributed Systems Python (Programming Language) Log Analysis
+9 more
E2e Testing SQL Databases Systems Integration Apache Spark Backend Containerization Bug Reporting Apache Kafka Data Pipelines

Job description

Data Architect 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 Requirements

Requirements

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 GCP, 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.

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