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Software Development Engineer in Test (SDET)

Software Development Engineer in Test (SDET)

Dymon Asia Capital
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Job Description

Job Description: Software Development Engineer in Test (SDET)

Location: Bengaluru, India

About Us

Dymon Asia Capital (Dymon Asia), founded in 2008, is a leading alternative investment firm with assets across public and private markets. The firm's flagship hedge fund product is the Multi-Strategy Investment Fund (MSIF), an Asia-focused multi-manager multi-strategy fund that seeks to generate absolute consistent uncorrelated returns from emerging and developed markets.

Headquartered in Singapore, Dymon Asia operates from nine offices across the Middle East and Asia, including Hong Kong, Tokyo, Dubai, Shanghai, Mumbai, and Kuala Lumpur. Our platform is built on our people. We bring together diverse perspectives, expertise, and experience across our multi-strategy and private markets businesses. Maintaining a collaborative culture where our people are set up to do their best work is central to how we operate.

Our Bengaluru Quality Engineering team partners with Singapore-based trading, risk, and technology teams to support mission-critical platforms, including our multi-asset trading (DART) and execution/liquidity systems (ELS), through a legacy-to-Agile QA transformation. We are looking for an SDET to join a distributed Singapore/Bengaluru QA organization, working closely with Developers, Product Owners, Business Analysts, DevOps, and Production Support teams across the full software development lifecycle of enterprise financial applications.

Key Responsibilities

  • Perform comprehensive manual, API, functional, integration, regression, and automation testing for enterprise financial applications.
  • Validate complex financial workflows across trading, risk management, portfolio management, and capital markets systems, including FIX Protocol validation.
  • Design test strategies and manage test execution across multiple releases using Jira, Confluence, and Tricentis qTest.
  • Integrate automated tests into CI/CD pipelines to support continuous testing and rapid delivery.
  • Debug application issues, analyze logs, identify root causes, and collaborate with engineering teams to resolve defects.
  • Leverage AI coding assistants (Claude, GitHub Copilot, Cursor, or similar) across the testing lifecycle, including test case generation, code review, root cause analysis, defect summarization, and documentation.
  • Identify automation opportunities and continuously improve testing efficiency and product quality.

Job Requirements

  • Bachelor's or master's degree in Computer Science, IT, Engineering, or a related discipline.
  • 6–10 years of hands-on experience in software testing / test automation.
  • Test automation expertise in Playwright (TypeScript/JavaScript), including scalable framework design using POM, modular structure, reusable utilities, and reporting.
  • Strong programming skills in TypeScript/JavaScript, Python, and Java, with solid OOP fundamentals and hands-on REST API testing and automation using Postman and/or Playwright, including auth, headers, payloads, and response schema validation.
  • Financial domain expertise, with proven experience testing trading platforms, risk management, capital markets, or investment management workflows, including FIX Protocol / FIX Message and trading lifecycle validation.
  • Git-based version control and CI/CD integration experience (Jenkins, GitHub Actions, or GitLab CI).
  • Strong analytical, debugging, and problem-solving abilities, with excellent communication and stakeholder management skills across distributed, cross-functional teams.
  • Proven ability to work in Agile/Scrum environments, with a quality-and-automation-first engineering mindset and strong sense of ownership.
  • Domain exposure to Capital Markets, Hedge Funds, Asset Management, or Investment Banking highly desirable, along with knowledge of GraphQL APIs, SQL/database testing, and AWS and/or Azure cloud-native application testing.
  • Curiosity to explore emerging technologies, particularly AI in Quality Engineering—and exposure to reviewing automation code and establishing coding standards.

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