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Added 24 days ago
MT
Firmware Engineer Intern - BS/MS - 2027 Co-Op
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Added 24 days ago
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Added 24 days ago
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QA Test Engineer (Cloud Migration Validation, Failure Triage & Root-Cause Analysis)
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- Full-time
…and data environments. This is not a traditional QA role: the engineer is expected to read logs, interrogate data, reproduce issues, isolate root causes, and determine whether a failure…
Added 24 days ago
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Added 24 days ago
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Added 24 days ago
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Added 25 days ago
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Added 25 days ago
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Added 25 days ago
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Added 25 days ago
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Added 25 days ago
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Added 25 days ago
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Added 25 days ago
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Next Pathway

QA Test Engineer (Cloud Migration Validation, Failure Triage & Root-Cause Analysis)

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 1, 2026
Posting language: English
Posted: Oct 2, 2026

Original job description

TEST ENGINEER

for

Next Pathway - The Automated Cloud Migration Company

Cloud Migration Validation, Failure Triage & Root-Cause Analysis

The Role. Next Pathway is looking for technically strong, highly analytical Test Engineers who can investigate failures across complex cloud migration and data environments. This is not a traditional QA role: the engineer is expected to read logs, interrogate data, reproduce issues, isolate root causes, and determine whether a failure originates in code, data, configuration, environment, orchestration, permissions, or the test framework itself.

Location. Toronto

Key Responsibilities

Execute, monitor, and assess automated and manual testing for enterprise cloud migration and modernization workloads.
Use Next Pathway’s TESTER software to validate translated code, data integrity, execution results, and production readiness across source and target environments.
Analyze test results, application logs, database logs, ETL/orchestration logs, audit logs, stack traces, and execution errors to triage failures and isolate root causes.
Differentiate failures caused by translated-code defects, source or target data issues, environment instability, configuration, permissions, dependencies, orchestration, or test setup.
Write advanced SQL to validate transformations, reconcile source-to-target results, investigate row-count and aggregate differences, identify nulls/duplicates, and trace data-quality issues.
Use Python to parse logs, analyze datasets, automate investigations, build lightweight test utilities, and accelerate recurring diagnostic tasks.
Work with SHIFT outputs and migration engineering teams to reproduce and investigate translated-code failures and support rapid defect resolution.
Document defects with clear evidence, root-cause findings, ownership, impact, and recommended next actions; identify recurring patterns and improve test coverage and automation.

Core Technical Skills

Advanced SQL: complex joins, aggregations, CTEs, window functions, data reconciliation, schema/data-type analysis, and query-based troubleshooting.
Python: scripting, data manipulation, log parsing, automation, diagnostics, and test utility development.
Log & failure analysis: ability to navigate large volumes of technical logs, follow execution paths, correlate events, and identify the true failure point.
Data validation & reconciliation: source-to-target comparison, transformation validation, row counts, aggregates, schema checks, business-rule validation, and discrepancy analysis.
Databases & data pipelines: solid understanding of tables, views, stored procedures, schemas, constraints, transactions, ETL/ELT pipelines, dependencies, and scheduling/orchestration.
Cloud data platforms: experience with Snowflake strongly preferred; familiarity with Databricks and major cloud platforms is an asset.
Engineering toolchain: working knowledge of Git/GitHub, CI/CD pipelines, Linux/Unix command-line tools, APIs/JSON, and defect-management systems.
Performance troubleshooting: ability to recognize query, resource, timeout, dependency, and scalability issues that affect test execution.

What We Look For

Exceptional analytical, troubleshooting, and root-cause analysis skills; able to work methodically through ambiguous failures.
Systems thinking: understands that a failed test may originate anywhere across code, data, infrastructure, orchestration, configuration, permissions, or TESTER - and can determine which layer owns the issue.
Technical curiosity and independence: willing to dig into the evidence rather than simply escalate a failure.
Clear communication: can explain technical findings concisely to developers, data engineers, delivery teams, and client stakeholders.
Background may be in test engineering, data engineering, software engineering, or another technical discipline; diagnostic capability matters more than a traditional QA title.

What Success Looks Like

An average tester reports: “The test failed.” A strong Next Pathway Test Engineer explains why it failed, proves where the problem originated, identifies the likely owner, and provides the evidence needed to resolve it quickly.

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More about this job

Responsibilities

Execute and assess automated and manual tests for cloud migration workloads, validating translated code, data integrity, and execution results across source and target environments. Investigate failures using logs, SQL, and Python; establish root causes and ownership, document evidence, and help resolve defects and improve test coverage.

Requirements

The role calls for strong analytical and troubleshooting skills, advanced SQL, Python scripting, and experience validating data and investigating technical logs and failures. Familiarity with databases, data pipelines, cloud data platforms - especially Snowflake - and engineering tools such as Git, CI/CD, and Linux/Unix is valued; no specific education requirement is stated.

Skills

Advanced SQL
Python
Log Analysis
Root-Cause Analysis
Data Validation
Data Reconciliation
Failure Triage
Cloud Migration Testing
ETL/ELT Pipelines
Snowflake
Databricks
Git/GitHub
CI/CD
Linux/Unix
Performance Troubleshooting
Test Automation

Visa sponsorship

Not detected in the job text

Keywords

Cloud Migration
Cloud Modernization
Next Pathway TESTER
SHIFT
SQL
Python
Snowflake
Databricks
Git
GitHub
CI/CD
Linux/Unix
APIs
JSON
Log Parsing
Root-Cause Analysis
Failure Triage
Data Reconciliation
Data Integrity
Source-to-Target Validation
ETL/ELT
Orchestration
Database Logs
Audit Logs
Stack Traces
Test Automation
Defect Management
Performance Troubleshooting
Permissions
Production Readiness

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