Project description Our client is a leading global Financial market data provider who runs a number of change programs to deliver high-quality software that connects Financial Markets across the globe in a real-time, high-frequency, and low-latency data management chain. The projects are technically challenging in an environment that is very engaging. We are looking for a QA Engineer with experience in testing backend systems and services running under Linux, with capabilities to collaborate in a team‑focused environment and coordinate work with BA, Dev, Operational, and cross‑functional application teams.
Responsibilities Own QA activities incl. manual, and performance testing
Configuration or re‑confirmation of test appliances and environments
Report and track the status of issues in Jira along with keeping up‑to‑date documentation in Confluence
Solve problems and evaluate bugs and weaknesses before the software is released to the production environment.
Work with colleagues in various areas in order to facilitate end‑to‑end testing
Coordinate work with BA, Dev, Operational, and cross‑functional application teams to resolve data quality, integration and performance issues.
Skills Must have The role requires a solid foundation in software development and testing, demonstrated by at least three years of relevant experience. Candidates should have a thorough understanding of the formal software development lifecycle, with practical expertise in both manual and automated testing methodologies and tools. Familiarity with multiple operating systems, including Linux, AWS, and Windows, is essential. Additionally, a strong grasp of TCP/IP and UDP Multicast fundamentals, coupled with problem‑solving capabilities, will be applied to diagnose and resolve network‑related issues.
Hard skills: Proficient in software development lifecycle processes
Skilled in manual and automated testing techniques and tools
Experienced with Linux, AWS, and Windows environments
Knowledgeable in TCP/IP and UDP Multicast concepts and troubleshooting
Soft skills: Strong analytical thinking for problem identification and resolution
Effective interpersonal abilities to collaborate and communicate within teams
Fluent Upper Intermediate level of English for clear communication
Nice to have Knowledge of market data: Understanding of market data concepts and applications is advantageous.
Experience in simulator/trading systems: Familiarity with trading platforms and simulation environments is beneficial.
Knowledge of scripting languages such as Python, Unix shell, or PowerShell: Proficiency in these scripting languages is preferable.
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