Software Test Engineer

Description

About Us

Trintech is a leading global provider of cloud-based reconciliation and financial close solutions for Finance & Accounting teams. Our Cadency platform and Adra suite help organizations automate reconciliations, close management, journal entries, governance, risk, and compliance processes for more than 4,200 clients worldwide.

Job Summary

We are looking for a Software Test Engineer II with 3-5 years of relevant experience who can contribute to both manual and automation testing for enterprise software products.

This role is suited for a detail-oriented quality engineer with strong manual testing fundamentals, an automation mindset, and hands-on exposure to modern automation tools such as Playwright and Python. The candidate should be able to analyze requirements, design effective test coverage, execute manual and automated tests, troubleshoot issues, and collaborate with QA, engineering, product, and global teams to deliver high-quality software.

Exposure to Git for version-controlling automated tests, Azure Pipelines or similar CI/CD tools for running automated tests, and familiarity with AI-assisted testing or development tools will be valuable for this role.

What You Will Do

• Plan, design, and execute test cases for functional, integration, regression, exploratory, and end-to-end scenarios.
• Create, maintain, and improve automated test scripts using modern automation tools such as Playwright and Python.
• Identify the right balance between manual validation and automation coverage based on risk, repeatability, and product impact.
• Analyze requirements, participate in backlog refinement, provide test estimates, and define test coverage for user stories.
• Use Git or similar version control tools to manage and maintain automated test assets.
• Log, track, troubleshoot, and validate defects using existing defect management tools.
• Support automated test execution through CI/CD pipelines where applicable.
• Contribute to regression readiness, release validation, test data setup, traceability, and test metrics.
• Collaborate with developers, QA engineers, product teams, and global stakeholders to improve product quality.
• Continuously improve testing practices by identifying opportunities for better automation, stronger coverage, faster feedback, and more reliable validation.
  
  

Automation Mindset

• Identify repeatable, high-value scenarios that should be automated.
• Use automation to improve regression coverage, reduce manual effort, and provide faster release feedback.
• Write maintainable automation scripts with focus on reliability, readability, reuse, and ease of debugging.
• Be open to learning new tools, frameworks, and product areas as automation needs evolve.
  
  

Qualifications And Skills

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 3-5 years of relevant experience in software testing, with a strong mix of manual testing and test automation experience.
• Strong understanding of SDLC, STLC, Agile/Scrum, defect lifecycle, and release validation practices.
• Hands-on experience in manual testing, including test planning, test case design, test execution, defect management, and test metrics.
• Hands-on or working experience with Playwright and Python for test automation.
• Experience using Git or similar version control systems for maintaining automated test scripts.
• Exposure to Azure Pipelines or similar CI/CD tools for running automated tests.
• Familiarity with AI-assisted testing or development tools such as LLMs, ChatGPT, Claude, Codex, GitHub Copilot, or similar tools.
• Ability to analyze requirements, identify test gaps, raise risks early, and define effective test coverage.
• Strong analytical, troubleshooting, and problem-solving skills across product, application, data, and integration issues.
• Ability to work with minimal supervision in a fast-paced, collaborative, and global environment.
• Strong written and verbal communication skills.
  
  

Good to Have / Added Advantage

• Awareness of AI testing concepts such as LLM-as-a-Judge, golden datasets, prompt/output validation, or model response evaluation.
• Exposure to observability or tracing tools such as Langfuse for AI workflow validation.
• Previous experience with AI-enabled applications, reconciliation, financial close, month-end close, accounting, or enterprise SaaS applications.
  
  

Cultural Fit

• Detail-oriented, quality-focused, and accountable for outcomes.
• Strong manual testing discipline with an automation-first mindset.
• Collaborative, open to feedback, and comfortable working with global teams.
• Continuous improvement mindset with curiosity to learn new tools, frameworks, and testing approaches.
  
  

Embraces change, growth, innovation, and evolving quality engineering practices.

At our core, Trintechers stand committed to fostering a culture rooted in our core values – Humble, Empowered, Reliable, and Open. Together, these values guide our actions, define our identity, and inspire us to continuously strive for excellence in everything we do.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin or disability.