Software Development Engineer in Test – Backend

Gogolook

Backend SDET building Python test automation for Gogolook’s anti-scam and fintech services. Validating APIs, data pipelines, CI/CD, and performance while developing internal testing tools with RD and SRE.

Posted 8/9/2026full-timeTaipei • 🇹🇼 TaiwanMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in designing and implementing automated API tests and validation for data pipelines, with strong experience in CI/CD pipeline maintenance and optimization. Demonstrates expertise in Python programming, including the pytest ecosystem, and effective communication in both Chinese and English.

Highest-signal resume keywords

Python ProficiencyAutomated API TestingCI/CD Pipeline OptimizationAsynchronous Processing ExperienceTest Framework Development

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Applicant Tracking System Keywords

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Hard Skills

Automated TestingTest Data ManagementContract TestingEventual Consistency TestingTest Environment DeploymentPerformance TestingLoad TestingCode MaintainabilityAI Tool IntegrationObservability Tools

Soft Skills

Technical CommunicationProactive Risk Management

Tools & Technologies

PytestGitHub ActionsLocustJMeterDockerKubernetesTerraformDatadogGrafanaAWS Services

Industry Keywords

Test AutomationData PipelinesAPI TestingContinuous IntegrationContinuous DeploymentSoftware DevelopmentQuality Assurance

Tech Stack

Tools & technologies

AWSDockerDynamoDBGrafanaJMeterKubernetesPythonTerraform

About the role

Key responsibilities & impact

Design and implement automated API tests covering functional, regression, and contract testing.
Design and implement automated validation for queues, events, scheduled jobs, and data pipelines, including correctness, completeness, duplicates, omissions, processing timeliness, and rerun consistency.
Maintain and optimize CI/CD pipelines to improve test efficiency, stability, and coverage; analyze and fix flaky tests.
Deploy test environments according to existing processes and independently troubleshoot environment issues.
Maintain and extend test frameworks, including shared fixtures, type annotations, and test-data management.
Develop internal tools for RD and PM teams to replace repeated manual validation.
Participate in performance and load testing using Locust and JMeter, including scripting, scenario configuration, and result interpretation.
Use coding agents and LLMs for test writing, test-data generation, log analysis, and failure attribution; document reusable prompts, specifications, and practices for consistent team output.
Work directly with RD and SRE on API and data-flow test design, framework development, and CI/CD stability.
Independently make decisions within the assigned scope and proactively communicate technical risks; discuss cross-team architecture and prioritization with the QA Lead.

Requirements

What you’ll need

3+ years of software development or test automation experience
Proficiency in Python, including the pytest ecosystem, virtual environments and package management, and type annotations
Ability to write clear, maintainable code
Experience with systems involving asynchronous processing such as queues, events, or background scheduling, or with data pipelines
Understanding of eventual-consistency testing challenges
Familiarity with HTTP/API, databases, and AWS services such as DynamoDB, Lambda, and Systems Manager
Practical CI/CD experience, such as GitHub Actions
Understanding of QA fundamentals, including test-level applicability, coverage strategies, and test-value decisions
Daily experience incorporating AI tools into work, with ability to explain effective and ineffective scenarios
Contract testing, test-environment, and test-data management experience preferred as an advantage
Experience with observability tools such as Datadog and Grafana is an advantage
Basic Docker, Kubernetes, or Terraform skills are an advantage
Experience developing internal tools adopted by other teams is an advantage
Experience validating AI-feature quality, such as evaluating nondeterministic outputs, is an advantage
Ability to communicate technically in both Chinese and English is an advantage

Benefits

Comp & perks

Technical community activities
Subsidized tickets for conferences and workshops
Support for continuous learning and self-growth
Professional autonomy and respect for technical opinions
Transparent company information-sharing and employee feedback opportunities