About
Astra Tech is a technology company that develops lending and credit-based financial products.
Responsibilities
•Design and execute test strategies for lending products, covering functional, API, integration, and end-to-end testing
•Test the full lending lifecycle, including loan applications, approvals, disbursements, repayments, and collections
•Develop and maintain scalable API automation frameworks using Python (pytest) or Java, and integrate automated tests into CI/CD pipelines
•Build automated regression suites for critical business workflows, edge cases, negative scenarios, and exception handling
•Validate backend microservices, transaction integrity, database consistency, asynchronous processing, and message-driven workflows
•Test risk decisioning systems, including credit eligibility, approval rules, credit limits, and risk policies
•Collaborate with Product, Risk, Engineering, and DevOps teams to identify quality risks and ensure reliable releases
•Investigate complex defects, perform root cause analysis, and improve test coverage and automation efficiency
Requirements
•Bachelor's or Master's degree in Computer Science, Engineering, or a related field
•5+ years of QA experience, with hands-on expertise in backend, API automation, and integration testing
•Mandatory experience testing lending or credit-based products, such as personal loans, consumer lending, BNPL, or other credit products
•Strong understanding of the end-to-end lending lifecycle
•Hands-on experience developing API automation frameworks using Python (pytest) or Java
•Strong SQL skills and experience with database validation and data reconciliation
•Good understanding of REST APIs, distributed microservices, and asynchronous messaging systems
•Experience integrating automated regression testing into CI/CD pipelines
•Strong analytical, debugging, and problem-solving skills
•Excellent spoken and written English, with the ability to work independently and collaboratively
Nice to have
•Experience testing credit decision engines, credit scoring, eligibility rules, credit limits, risk policies, or risk-based pricing
•Familiarity with SAS Decision Manager or similar automated decisioning solutions
•Experience with decision rule validation, regression testing, and comparing legacy and new decision engines
•Experience using AI-assisted engineering tools such as Claude Code, Codex, Cursor, or GitHub Copilot for test automation, test case generation, and debugging
•Experience with performance and load testing tools such as JMeter, k6, or Gatling
•Experience testing high-volume, high-availability, and transaction-intensive backend systems
Conditions
No conditions stated in the posting.
