System Performance Engineer

Our real-time Financial Fraud Detection platform processes massive volumes of streaming and historical data. To meet our ambitious performance and scalability goals, we are looking for a Systems Performance Engineer with expertise in JVM tuning, distributed systems optimisation, and AWS infrastructure performance.

• Participating in daily stand-ups and team meetings to synchronise activities with the team and keep investigations aligned with ongoing priorities.
• Leading analysis of Engineering Triage tickets, supporting Support teams by diagnosing issues raised by customers and helping identify root causes.
• Interpreting logs, metrics, and customer-provided data to understand system behaviour and identify potential misconfigurations or bottlenecks.
• Setting up, running, and evaluating Proofs of Concept (POCs) to validate configuration changes, new tools, or new approaches.
• Analysing graphs, resource-usage patterns, and system-level data to draw clear, evidence-based conclusions.
• Tuning and enhancing our system configurations to improve reliability, scalability, and efficiency.
• Providing structured, data-driven recommendations to development teams.
• Investigating system-level issues in collaboration with engineering, support, and operations stakeholders.
• Conducting exploratory research, testing hypotheses, and leveraging web resources, documentation, and internal knowledge to resolve complex problems.
• Contributing to the continuous improvement of internal diagnostics, tooling, analysis processes, and investigation playbooks.

• Investigate and analyse issues raised through Engineering Triage, using system-level data, metrics, logs, and customer information.
• Interpret graphs, measurements, and test results to identify patterns, anomalies, or bottlenecks.
• Set up, run, and compare POCs in controlled environments to validate hypotheses and guide technical decisions.
• Apply strong Linux and shell‑scripting knowledge to gather data, run tests, and automate routine analysis.
• Use JVM knowledge to understand system behaviour, resource utilisation, and configuration impacts.
• Tune and enhance the current system setup by recommending configuration, architectural, or operational adjustments.
• Research complex technical problems independently and propose practical, evidence‑based solutions.
• Document findings clearly and communicate technical explanations to developers, support engineers, and stakeholders.

• Drive clarity on ambiguous or customer‑reported system issues by producing high‑quality investigations.
• Provide insights that directly influence system stability, performance, and customer satisfaction.
• Guide Support and Engineering teams by asking the right questions and helping interpret data.
• Deliver POCs that help the organisation evaluate new tools, architectures, or solutions with confidence.
• Influence technical direction by identifying structural or configuration improvements.

• Demonstrate a proactive, self‑starting attitude—comfortable exploring issues independently before seeking help.
• Embrace a scientific mindset: formulate hypotheses, test them, evaluate results objectively.
• Show curiosity, enthusiasm, and a genuine interest in learning more about systems, tuning, and diagnostics.
• Collaborate effectively across teams and communicate findings clearly and constructively.
• Seek and provide timely, actionable feedback.
• Help raise the overall standard of system analysis, investigation quality, and diagnostic understanding across the team.
• Model a calm, methodical approach to complex or unclear problems.

• A degree in Computer Science, Engineering, Mathematics, Physics, or a related scientific/technical field—or equivalent practical experience.
• Strong understanding of Linux internals, shell scripting, and system‑level diagnostics.
• Foundational JVM knowledge (memory, threads, GC basics, configuration impacts).
• Experience interpreting logs, metrics, dashboards, and system graphs.
• Ability to understand and interpret test results, workload outputs, and benchmark data.
• Proven ability to troubleshoot complex technical problems by researching, analysing, and synthesising information.
• De…