Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 26, 2026.
Amber Group is a global leading digital asset company providing crypto financial services to both institutional and high-net-worth investors globally.
We offer best-in-class liquidity solutions and cutting-edge trading infrastructure across major exchanges, applications, and networks. With over $1 trillion in cumulative trading volume, our deep liquidity helps power the digital asset ecosystem.
Beyond trading, our full-suite of offerings includes wealth management, lending and investing products. But at our core, we focus on building strong relationships and delivering personalized service to help clients navigate this fast-growing industry.
At Amber, security is our #1 priority. We have invested years of effort and millions of dollars in cybersecurity, crypto-security, and operational security across the firm, with industry-leading certifications like SOC 2 Type II and ISO 27001.
Powered by a 400+ team of traders, technologists and engineers operating 24/7 globally, our technology and research capabilities are world-class. Yet we remain entrepreneurial, always seeking fresh ideas and risks worth taking. We are always interested in people who have an appetite for taking calculated risk, demonstrate a high level of original thinking and intellectual curiosity.
Responsibilities:
- Design, develop, and execute comprehensive test plans for trading software, APIs, and infrastructure components.
- Collaborate with quantitative researchers, software engineers, and DevOps to identify issues early in the development lifecycle.
- Automate test cases using industry-standard frameworks (e.g., pytest, Selenium, JUnit) and integrate them into CI/CD pipelines.
- Create and maintain clear documentation of test cases, bugs, and testing protocols.
- Monitor production systems, participate in post-incident reviews, and help improve system resilience.
- Stay updated with emerging AI tools/methodologies relevant to software development / testing.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
- 3+ years of experience in software testing.
Proficiency in Python for test automation and scripting;
- Solid understanding of software testing principles, methodologies, and tools for both traditional and AI-infused applications.
- Experience testing real-time, distributed systems, APIs (REST, WebSocket, gRPC), and microservices.
- Strong analytical, problem-solving, and debugging skills with a meticulous attention to detail.
- Excellent communication skills and the ability to thrive in a collaborative, fast-paced environment.

