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.
Responsibilities
* 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.
Technical Responsibilities
* 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.
Impact
* 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.
Behaviour
* 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.
Qualifications
* 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.
* Demonstrated use of a home lab or personal systems projects (VMs, clusters, network setups, custom builds).
* Strong analytical and critical‑thinking skills with high attention to detail.
* Ability to manage workload independently and drive investigations to completion.
* Familiarity with common tooling for monitoring, metrics, or system insights.
Preferred Qualifications
* Database knowledge (relational or NoSQL).
* Deeper JDK/JVM tuning or diagnostic experience.
* Basic Kubernetes setup or cluster experimentation experience.
* Understanding of networking fundamentals.
* Experience with open‑source tools used for diagnostics, observability, or system performance.
* Basic programming ability (any language) to support automation or small tooling improvements.
* Exposure to distributed systems concepts or cloud environments.
Additional Qualities
* Attention to detail, excellence and quality.
* A focus on personal achievement and responsibility.
* Passion to learn new skills and technologies.
* Ability to share knowledge.
* Enthusiasm and an open mindset.
* Can‑do attitude.
* A passion to work for one of the fastest growing fraud prevention technologies in the world.
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