Why This Job is Featured on The SaaS Jobs
Quality engineering has become a strategic function in SaaS, especially for platforms that sit in core business workflows like finance operations. This role stands out because it targets reliability across web apps, APIs, and backend services in an AI-enabled accounting product, where accuracy and trust are product features, not just technical outcomes. The remote Spain setup also reflects how many SaaS engineering orgs now build distributed QA practices that support frequent releases.
From a SaaS career perspective, the position offers a strong foundation in modern delivery mechanics: automated test suites tied into CI/CD, coverage of critical user journeys, and the judgment to use manual testing when it de-risks a release. Experience collaborating with Product and Engineering on edge cases and release readiness translates well across subscription software businesses where iteration cycles are continuous and regressions carry immediate customer impact. The explicit attention to AI-assisted testing also signals exposure to emerging tooling, without making it the whole job.
This is best suited to a QA engineer who enjoys hands-on automation but also values end-to-end product understanding. It fits someone early to mid career who wants breadth across testing layers and is comfortable communicating clearly in a cross-functional, remote environment.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
QA Engineer (Automation Focus)
Location: Spain (Remote)
Vic.ai is pioneering the Intelligent Accounting era, using artificial intelligence to transform how finance teams operate. Our platform automates accounts payable, payments, expense management, and financial workflows, processing hundreds of millions of invoices annually to help organizations improve accuracy, gain real-time visibility, and unlock strategic insights.
We're looking for a QA Automation Engineer who is passionate about quality, embraces AI-driven innovation, and is eager to help build reliable software at scale. This role is ideal for someone who enjoys both automated and manual testing and understands that delivering quality sometimes requires switching between the two.
The Opportunity
As a QA Automation Engineer, you'll work closely with Engineering and Product teams to ensure our platform remains reliable, scalable, and user-friendly.
While automation is a major focus of this role, we believe great QA engineers know when manual testing provides the fastest path to validating a feature, investigating a defect, or understanding a user workflow. You'll contribute across both disciplines, helping us continuously improve how we test, validate, and deliver software in an AI-driven environment.
Beyond testing, you'll play an active role in identifying, troubleshooting, and helping resolve product issues and bugs, working collaboratively with engineers to drive quality throughout the development lifecycle.
This is an excellent opportunity for an early-career or mid-level engineer looking to deepen their automation expertise while working on cutting-edge AI products and technologies.
What You'll Do
Test Automation
Design, develop, and maintain automated test suites for web applications, APIs, and backend services.
Expand test coverage across critical user workflows and platform functionality.
Integrate automated testing into CI/CD pipelines.
Identify opportunities to improve testing efficiency through automation and tooling.
Manual Testing
Execute exploratory, regression, acceptance, and feature testing when appropriate.
Validate new product releases before deployment.
Reproduce, investigate, and document defects with clear steps and supporting evidence.
Partner with Product and Engineering teams to verify requirements and edge cases.
AI-Driven Quality Engineering
Leverage AI tools to improve testing productivity, test generation, defect analysis, and quality insights.
Experiment with AI-assisted approaches to test creation and maintenance.
Help define best practices for AI-enabled quality engineering.
Evaluate how AI can accelerate testing while maintaining high confidence in product quality.
Collaboration
Participate in sprint planning, refinement sessions, and release readiness reviews.
Work closely with developers to identify quality risks early in the development process.
Advocate for quality throughout the software development lifecycle.
Contribute to continuous improvement of QA processes and standards.
What We're Looking For
Required Qualifications
1-3 years of experience in software quality assurance, testing, or quality engineering.
Hands-on experience with test automation frameworks and tools.
Experience performing both automated and manual testing.
Familiarity with API testing and web application testing.
Understanding of software development lifecycles and agile methodologies.
Strong problem-solving and analytical skills.
Excellent written and verbal communication skills in English.
Preferred Qualifications
Experience with Python, JavaScript, TypeScript, or similar programming languages.
Experience with Playwright, Cypress, Selenium, or comparable automation frameworks.
Experience testing APIs using tools such as Postman or similar platforms.
Experience solving bugs.
Familiarity with CI/CD tools and automated deployment pipelines.
Experience testing AI-powered products or machine learning applications.
Experience using AI tools to improve development or testing workflows.
What Success Looks Like
Within your first year, you will:
Increase automated test coverage across key product areas.
Help reduce escaped defects and improve release confidence.
Identify opportunities to streamline testing through AI-assisted workflows.
Become a trusted quality partner to Engineering and Product teams.
Contribute to a culture where quality is everyone's responsibility.
Work on cutting-edge AI products with real-world impact.
Join a collaborative, remote-first team.
Learn and grow in an environment that embraces innovation and continuous improvement.
Help shape how AI transforms software development and quality assurance.
Competitive compensation and benefits.
Vic.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
