Job Description
Key Responsibilities
- Design, develop, and implement robust back-end software solutions that support the collection and normalisation of large volumes of global trading data in real-time and archive modes.
- Translate high-level architecture and design models into detailed technical specifications and production-quality code.
- Participate in technical design and functional specification reviews, contributing to project estimates, test plans, code reviews and integrate with CI systems like Jenkins
- Proactively identify, analyse, and resolve performance bottlenecks and technical issues through profiling using tools such as JProfiler and Yourkit, testing, and root cause analysis.
- Troubleshoot problems by analysing code and large datasets using AI tools like Github copilot and Linux commands/script as well as logs using Splunk, Datalog and Graphana.
- Collaborate with global collaborators and multi-functional teams to ensure data completeness, accuracy, and resilience across network and server environments.
- Provides technology trends and competitive landscape expertise and makes technology decisions to drive opportunities and competitive advantage for our clients.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience.
- 6+ years of software development experience with strong core Java expertise in a Linux environment.
- Experience with network programming (e.g., TCP/UDP) and low-level data processing, including byte-level encoding and decoding.
- Proven ability to work with large data sets, complex data structures, and high-volume data manipulation and sorting.
- Proficiency in Linux and scripting as well as in tools such as Git, Confluence, JIRA, and IntelliJ.
Preferred Qualifications
- Experience in financial markets or trade surveillance environments.
- Familiarity with AWS or comparable cloud platforms.
- Understanding of SaaS platforms and private cloud architecture.
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