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Salary
$23k – $57k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp
Overview
Company
Impact
Profile match
bolttech is a Singaporean insurtech operating a global exchange that connects insurers, distributors and customers. Its technology embeds protection products into telecom, retail and e-commerce journeys. The company operates in dozens of markets across Asia, Europe and North America.

Responsibilities:

  • Design, develop, and execute test strategies, test plans, and test cases for analytics and SaaS applications.
  • Validate data accuracy, transformations, and reporting outputs.
  • Perform functional, regression, integration, and API testing.
  • Ensure integrity and consistency of data pipelines, dashboards, and reports.
  • Validate analytics outputs and insights embedded within the platform.
  • Work with business analysts, developers, and product teams to understand requirements and define acceptance criteria.
  • Participate in agile ceremonies and provide quality insights throughout the SDLC.
  • Identify opportunities to automate test cases and improve testing efficiency.
  • Enhance QA processes, frameworks, and tools to improve overall product quality.
  • Identify, log, track, and manage defects through resolution.
  • Perform root cause analysis and ensure continuous improvement.
  • Guide and mentor junior QA team members.
  • Promote best practices in quality engineering and testing standards.

Requirements:

  • Must have good domain knowledge in P& C Insurance (preferably in the US market).
  • Excellent communication skills, both written and verbal.
  • Experience using GenAI tools (Copilot/ChatGPT/Claude) to create test cases, automate them, and summarize the test execution results.
  • Should have proficiency in writing SQL queries and pulling ad hoc data.
  • Ability to validate and refine GenAI-generated SQL, insights, and narratives, ensuring accuracy and alignment with source data.
  • Awareness of responsible AI usage, including data privacy, hallucination checks, and governed use of enterprise LLMs.
  • Should be able to handle multiple time-sensitive bug/enhancement requests.
  • Should have experience in testing DWH data models, data marts, and dashboards.
  • Should have experience in understanding source-to-target mapping (ETL specs) and report specifications.
  • Work with business analysts, developers, and product teams to understand requirements and define acceptance criteria.
  • Should be able to support user acceptance testing and production bugs.
  • Hands-on experience with API testing tools (Postman, REST, etc. ).
  • Should be able to work independently and take ownership of end-to-end deliverables.
  • Should have 5 years+ relevant experience.
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