SDET/QA Engineer- Remote
Company: CODVO.AI
Department: Engineering
Location: Work From Home
Employment Type: Full-Time
Experience Level: Mid-Level (3+ years)
Role Overview
We're seeking an experienced SDET/QA Engineer to join CODVO.AI's Engineering team and ensure the quality and accuracy of our financial reconciliation platform. In this role, you'll validate complex reconciliation workflows, design comprehensive test strategies for data-heavy processes, and serve as the quality gatekeeper before go-live. Your meticulous attention to detail and testing expertise will directly impact the reliability of our fintech solutions.
What You'll Do
Design and execute comprehensive test cases covering all reconciliation scenarios—matched, missing, duplicate, mismatch, and unmatched records—ensuring end-to-end accuracy across the platform
Create robust test data sets that capture edge cases, boundary conditions, and real-world financial scenarios to validate system behavior under diverse conditions
Perform regression testing after each build to identify regressions and ensure previously fixed issues remain resolved
Validate reconciliation outputs by manually verifying Excel and PDF reports against expected results, with sharp focus on amount discrepancies, date accuracy, and ID-level matching
Develop and maintain automated test frameworks using pytest or equivalent tools to increase test coverage and reduce manual testing overhead
Document detailed test results and defect reports with clear reproduction steps, severity levels, and supporting evidence for engineering teams
Collaborate with product and engineering teams to understand requirements, clarify test scenarios, and communicate quality metrics and blockers
Sign off on data accuracy and report integrity before production releases, ensuring stakeholder confidence in reconciliation results
What We're Looking For
Required Qualifications:
3+ years of professional QA testing experience, with preference for fintech or insurance domain expertise
Demonstrated ability to write detailed, comprehensive test cases for complex, data-heavy financial workflows
Advanced Excel proficiency to manually verify reconciliation outputs, including pivot tables, VLOOKUP, and data analysis functions
Exceptional attention to detail with proven ability to identify amount, date, and ID-level discrepancies
Strong communication skills and ability to document findings clearly for technical and non-technical stakeholders
Experience working in Agile/Scrum environments with iterative testing cycles
Comfortable working independently in a remote environment with self-directed time management
Nice to Have
Experience testing AI-generated outputs for consistency, accuracy, and bias detection
Proficiency with pytest, unittest, or other Python-based test automation frameworks
Familiarity with reconciliation processes, data matching algorithms, or financial workflows
Experience with CI/CD pipelines and automated testing integration
Knowledge of SQL for data validation and test data creation
Exposure to API testing or end-to-end testing tools
Background in fintech, insurance, or regulated financial services
What We Offer
Flexible work arrangement: 100% remote with core hours 2:30 PM - 11:30 PM
Competitive compensation: Commensurate with experience and expertise
Growth opportunities: Work on cutting-edge AI-driven financial technology with opportunities to expand your skill set
Collaborative culture: Join a talented engineering team that values quality, precision, and continuous improvement
Professional development: Access to learning resources and opportunities to grow your automation and technical testing expertise
Impact-driven work: Your quality assurance directly protects users and ensures the reliability of critical financial systems
Apply To This Job
Department: Engineering
Location: Work From Home
Employment Type: Full-Time
Experience Level: Mid-Level (3+ years)
Role Overview
We're seeking an experienced SDET/QA Engineer to join CODVO.AI's Engineering team and ensure the quality and accuracy of our financial reconciliation platform. In this role, you'll validate complex reconciliation workflows, design comprehensive test strategies for data-heavy processes, and serve as the quality gatekeeper before go-live. Your meticulous attention to detail and testing expertise will directly impact the reliability of our fintech solutions.
What You'll Do
Design and execute comprehensive test cases covering all reconciliation scenarios—matched, missing, duplicate, mismatch, and unmatched records—ensuring end-to-end accuracy across the platform
Create robust test data sets that capture edge cases, boundary conditions, and real-world financial scenarios to validate system behavior under diverse conditions
Perform regression testing after each build to identify regressions and ensure previously fixed issues remain resolved
Validate reconciliation outputs by manually verifying Excel and PDF reports against expected results, with sharp focus on amount discrepancies, date accuracy, and ID-level matching
Develop and maintain automated test frameworks using pytest or equivalent tools to increase test coverage and reduce manual testing overhead
Document detailed test results and defect reports with clear reproduction steps, severity levels, and supporting evidence for engineering teams
Collaborate with product and engineering teams to understand requirements, clarify test scenarios, and communicate quality metrics and blockers
Sign off on data accuracy and report integrity before production releases, ensuring stakeholder confidence in reconciliation results
What We're Looking For
Required Qualifications:
3+ years of professional QA testing experience, with preference for fintech or insurance domain expertise
Demonstrated ability to write detailed, comprehensive test cases for complex, data-heavy financial workflows
Advanced Excel proficiency to manually verify reconciliation outputs, including pivot tables, VLOOKUP, and data analysis functions
Exceptional attention to detail with proven ability to identify amount, date, and ID-level discrepancies
Strong communication skills and ability to document findings clearly for technical and non-technical stakeholders
Experience working in Agile/Scrum environments with iterative testing cycles
Comfortable working independently in a remote environment with self-directed time management
Nice to Have
Experience testing AI-generated outputs for consistency, accuracy, and bias detection
Proficiency with pytest, unittest, or other Python-based test automation frameworks
Familiarity with reconciliation processes, data matching algorithms, or financial workflows
Experience with CI/CD pipelines and automated testing integration
Knowledge of SQL for data validation and test data creation
Exposure to API testing or end-to-end testing tools
Background in fintech, insurance, or regulated financial services
What We Offer
Flexible work arrangement: 100% remote with core hours 2:30 PM - 11:30 PM
Competitive compensation: Commensurate with experience and expertise
Growth opportunities: Work on cutting-edge AI-driven financial technology with opportunities to expand your skill set
Collaborative culture: Join a talented engineering team that values quality, precision, and continuous improvement
Professional development: Access to learning resources and opportunities to grow your automation and technical testing expertise
Impact-driven work: Your quality assurance directly protects users and ensures the reliability of critical financial systems
Apply To This Job