Join a leading Tier 1 Hedge Fund at the forefront of financial technology innovation. They provide a high-performance trading environment with a focus on cutting-edge technology and data systems. The team is dedicated to building scalable, reliable, and efficient systems that support critical financial decision-making. As an SRE, you will play a pivotal role in ensuring the stability and performance of the Enterprise Data and Reference Data systems in a fast-paced, mission-critical environment.

Job Overview:
In this role, you will be responsible for creating automated solutions, troubleshooting production issues, and ensuring the reliability and performance of critical data systems that drive the hedge fund's trading strategies. You will collaborate with cross-functional teams to optimise system performance, perform root cause analysis, and drive remediation efforts to resolve production incidents.

Key Responsibilities:

• Develop and implement automated solutions to streamline the management of Enterprise Data and Reference Data systems.

• Troubleshoot and resolve production issues related to Enterprise and Reference Data applications, ensuring minimal downtime and maximum system availability.

• Conduct post-issue evaluations, root-cause analysis, and remediation efforts to prevent future incidents.

• Analyse system performance, identify failure patterns, and create performance tests to improve the overall efficiency of data systems.

• Collaborate with teams to document system behaviour, incidents, and optimisation strategies.

• Continuously monitor and analyse the performance of Enterprise/Reference Data applications to identify potential bottlenecks and areas for improvement.

• Work closely with trading and technology teams to ensure that data systems are scalable, reliable, and performant for high-frequency trading operations.

Required Technical Skills:

• Strong programming skills in one or more high-level languages (Python, Java, C/C++), with proficiency in structured programming, object-oriented programming (OOP), and test-driven development (TDD).
• Experience in analysing, debugging, and optimising data systems in a production environment.
• Strong knowledge of performance testing, system monitoring, and incident management processes.
• Experience working in mission-critical, high-performance environments such as finance or trading.
• Ability to work independently and handle multiple tasks in a fast-paced, results-driven environment.

Preferred Qualifications:

• Experience with cloud platforms, containerisation, and orchestration tools (e.g., Kubernetes, Docker).
• Familiarity with data management tools, distributed systems, and database technologies.
• Experience with automation frameworks and CI/CD pipelines.
• Strong problem-solving skills and the ability to think critically under pressure.
• Exposure to financial systems or experience working in a hedge fund or high-frequency trading environment.