FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in Software Testing and Quality Engineering, with a strong focus on validating complex SaaS platforms and distributed systems. Proficient in automation practices, including the use of AI-assisted tools to enhance testing efficiency and quality.
Highest-signal resume keywords
7+ Years In Software Testing/Quality EngineeringExperience With AWS ServicesProficient In Java And TypeScriptAutomation Experience With PlaywrightStrong Understanding Of Distributed Systems
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software TestingQuality EngineeringAPI/Service TestingAutomated Testing FrameworksLoad/Performance TestingData ValidationSaaS PlatformsDistributed SystemsEvent-Driven ArchitecturesAgile Practices
Soft Skills
Collaboration Across Distributed TeamsCoaching TeammatesClear Written Communication
Tools & Technologies
AWSCloudWatchDynamoDBMySQLIoT CoreS3CloudFrontGitLabPlaywrightSelenium
Industry Keywords
CI/CDDevOpsWhole-Team Quality StrategyAI-Assisted DevelopmentObservability
Tech Stack
Tools & technologiesAWSDistributed SystemsDynamoDBIoTJavaMySQLSeleniumTypeScript
About the role
Key responsibilities & impact- Validate quality across signage components such as content repository, design, scheduling, integration, deployment, player performance, reporting and analytics.
- Troubleshoot in AWS including CloudWatch, DynamoDB, MySQL, IoT Core, S3, and CloudFront to find problem sources and contribute to resolutions.
- Flag testing, risk, and observability considerations early in design and planning including writing lightweight test strategy and plans.
- Ensure effective automation at the appropriate layers (API/service, data validation, and UI as needed).
- Explore and responsibly introduce AI-assisted quality practices where they create measurable improvements in speed, coverage, reliability, or insight, while preserving human judgment and appropriate review gates.
- Champion a whole-team quality approach.
- Contribute to non-functional testing (performance, scalability, resilience, security).
- Facilitate collaborative quality activities (exploratory testing, risk workshops, bug bashes).
- Help define and mature automated quality gates, regression suites, and evaluation-style checks that can support both today’s delivery process and future AI-assisted development workflows.
- Partner with Product, UX, and Engineering to translate product intent into clear, testable acceptance criteria and risk-based test strategies.
- Use production telemetry, customer workflow data, observability signals, and CI/CD feedback to prioritize testing and identify quality risks earlier.
- Partner with Engineering and Product as we pilot AI-assisted delivery workflows, helping assess where AI can safely support test generation, defect triage, documentation, MR review, and delivery reporting.
Requirements
What you’ll need- 7+ years in Software Testing/Quality Engineering.
- Hands-on experience validating complex SaaS platforms, distributed systems, APIs, data workflows, and user-facing product experiences.
- Experience with AWS services (e.g., CloudWatch, DynamoDB, MySQL, IoT Core, S3, and CloudFront).
- Experience with GitLab (or equivalent CI/CD platform) for automated testing and delivery.
- Strong understanding of distributed systems, event-driven architectures, and API/service testing.
- Proficient in at least one programming language (preferably in Java and TypeScript).
- Experience building or contributing to automated testing frameworks (API/service and data validation).
- Automation experience with Playwright for API and UI testing; familiarity with Selenium-based frameworks is helpful.
- Experience with load/performance testing.
- Strong grounding in agile, DevOps, and CI/CD practices.
- Experience establishing a whole-team quality strategy and coaching teammates.
- Ability to build a strong understanding of customer workflows and use production telemetry to guide testing.
- Practical experience using AI-assisted development or testing tools such as Claude, GitHub Copilot, Cursor, CodeRabbit, GitLab Duo, or equivalent.
- Ability to review AI-generated tests, code, documentation, or analysis for correctness, maintainability, security, and fit to customer intent.
- Experience collaborating across distributed teams, using clear written context, async-friendly documentation, and structured handoffs to maintain quality across time zones.
Benefits
Comp & perks- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
