Remote QA Engineer (Fintech, Senior, Automation & Manual, LATAM)

About the Position

... create world-changing products using God-given talents...

Our client is a growing, dynamic computer software company that helps businesses achieve greater levels of financial intelligence across their organization with our world-class financial reporting solutions.

You will learn and grow in a fast-paced, supportive environment that will take your career to the next level. We are looking for future Insighters who can demonstrate teamwork, results orientation, a growth mindset, disciplined execution, and a winning attitude to join our growing team!

Responsibilities

• Quality Ownership & Test Execution

  • Own the quality of your scrum team's deliverables - from requirements review through release - ensuring nothing ships without adequate test coverage.
  • Define, document, and execute test plans and test cases for new features, enhancements, and bug fixes - covering functional, regression, edge case, security, and non-functional scenarios.
  • Identify test conditions from user stories, product backlog items, and requirements documents - including positive, negative, boundary, end-to-end, and security scenarios.
  • Execute test cases, document results, track defects, and own them through to resolution - partnering with engineers and product management to ensure nothing falls through the cracks.
  • Participate actively in sprint ceremonies - planning, refinement, standups, demos, and retrospectives - as the quality voice of the team.
  • Collaborate with the Principal QA Lead and Sr Engineering Manager - QA & Standards to maintain consistent quality standards across scrum teams.

• AI-Augmented Testing

  • Leverage AI tooling to generate test plans, test cases, edge cases, positive and negative scenarios, end-to-end scenarios, security scenarios, and test data sets - expanding coverage and accelerating test authoring.
  • Continuously improve your use of AI tooling to raise the quality bar - using AI not just to work faster but to test more thoroughly than manual effort alone could achieve.
  • Stay current on emerging AI tooling relevant to QA - test generation, intelligent triage, data synthesis - and bring forward-looking recommendations to the Principal QA Lead and Sr Engineering Manager - QA & Standards.

• Automation Development & Maintenance

  • Write and maintain automated test suites for the features you test - owning automation as an extension of your manual testing work, not a separate discipline.
  • Make informed decisions on what to automate vs. what to test manually - balancing coverage value, maintenance cost, and delivery velocity.
  • Contribute to a shared automation framework and test infrastructure alongside peer QA Engineers and the Automation team - including UI automation (Selenium WebDriver, Page Object Model), API test coverage, and CI/CD pipeline integration via Azure DevOps.
  • Execute automated tests within CI/CD pipelines; triage failures to distinguish genuine defects from environmental noise.
  • Continuously improve automation coverage, reliability, and triage efficiency within your scrum team.

• Security Testing

  • Incorporate security testing into your standard test approach - including input validation, authentication and authorization boundary testing, data exposure risks, and injection vulnerabilities.
  • Partner with engineers to identify security-sensitive areas of new features and ensure appropriate security test coverage is included in test plans.
  • Leverage AI tooling to generate security-focused test scenarios and edge cases that manual analysis alone might miss.
  • Escalate identified security risks clearly and promptly to the scrum team, Principal QA Lead, and Sr Engineering Manager - QA & Standards.

• Collaboration & Communication

  • Partner closely with engineers in your scrum team to understand implementation details, flag quality risks early, and influence design decisions that affect testability.
  • Collaborate with the Principal QA Lead and Sr Engineering Manager - QA & Standards on test strategy, coverage standards, and process improvements.
  • Communicate defect status, test progress, and quality risks clearly to the scrum team and QA leadership.
  • Support junior QA Engineers through peer review, knowledge sharing, and mentorship.

Requirements

• Main Requirements

  • 6+ years of software quality engineering experience in enterprise SaaS environments.
  • Strong manual testing expertise - ability to independently define test strategy, write thorough test plans and test cases, and execute across functional, security, and non-functional scenarios.
  • Demonstrated experience using AI tooling to augment test authoring - test plan generation, test case generation, edge case identification, security scenario generation, or test data synthesis.
  • Proficiency in C# and hands-on experience with.**NET **test frameworks (NUnit, xUnit, or MSTest) and Selenium WebDriver - proven ability to build, own, and maintain automated test suites from scratch.
  • Experience with security testing concepts and tooling - input validation, auth boundary testing, Injection vulnerabilities, and familiarity with OWASP, Burp Suite, or similar frameworks.
  • Experience with defect tracking and test management tooling - JIRA and Xray specifically, including test tagging, execution tracking, and result publishing.
  • Experience working as an embedded QA engineer within agile/scrum teams - participating in sprint ceremonies and contributing to team delivery cadence.
  • Solid understanding of QA methodologies, testing techniques, and the software development lifecycle in an agile environment.
  • Heavily focused on AI Experience

• Good to Have

  • Background in equity compensation, fintech, or adjacent regulated industries - candidates with equity plan administration domain knowledge are strongly preferred.
  • Familiarity with testing cloud-native Azure services - Azure Service Bus, Event Grid, Azure Functions, or similar event-driven and serverless patterns.
  • Experience with Oracle databases - ability to write SQL queries to validate data and support testing of database-layer changes.
  • Familiarity with observability and logging platforms - particularly Datadog - to diagnose failing test cases by correlating test execution failures with application logs, traces, and error events; ability to distinguish genuine defects from environmental or infrastructure issues using log-driven evidence.
  • Familiarity with Azure DevOps Pipelines for test execution, environment management, and CI/CD integration.
  • Familiarity with modern test automation tooling and a willingness to contribute to framework modernization as the platform evolves - Playwright, Cypress, k6, JMeter, Gatling, SpecFlow, or similar.

We Offer

• Work your way – Enjoy the freedom to work from anywhere, with flexible hours that match your natural rhythm.
• Plenty of time to recharge – Take 15 paid vacation days, 10 additional unpaid days if needed, plus all national holidays.
• Meaningful, long-term projects – Dive into exciting 1–5+ year projects using the latest in AI, cloud and more.
• Support beyond the job – We help cover things like advanced language courses, gym memberships, and mentorship programs to help you grow.
• Work with global clients – Collaborate directly with international teams to create real impact.
• Make extra cash – Earn bonuses for referring great people or bringing in new business opportunities.
• Great people, no micromanagement – Join a supportive, results-focused team where you’re trusted to do your best work.

About the Company

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