Responsibilities
- Capacity Planning & Performance Analysis
- Lead initiatives to define metrics and data requirements supporting capacity and performance monitoring.
- Develop and refine models to analyze usage trends, predict future capacity needs, and proactively manage risk.
- Investigate and resolve production issues that impact system performance or client experience.
- Collaborate with development and infrastructure teams to identify and implement performance and scalability improvements.
- Data Engineering & Analytics
- Onboard and integrate new data sources, perform data transformation, and apply analytics to extract actionable insights.
- Use statistical modeling and data science techniques to detect patterns and anomalies.
- Build automated pipelines and reusable scripts (e.g., Python) to support analytics workflows.
- Reporting & Visualization
- Design and maintain business intelligence dashboards to visualize real-time and historical performance data (Grafana, Tableau).
- Produce customized reports for internal product teams, senior stakeholders and performance review board.
- Present findings in clear, concise formats to facilitate strategic decision-making.
Knowledge and Experience
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- 5+ years of experience in Performance Engineering and Capacity Planning for high-availability, mission-critical systems.
- Strong expertise in data analysis, modeling, and statistical techniques.
- Proficiency in Python or other scripting languages for automation and analysis.
- Solid understanding of network protocols (TCP/IP, Multicast) and distributed systems.
- Proven experience with data visualization platforms (e.g., Grafana, Tableau, Splunk).
- Deep understanding of low-latency, high-throughput environments, preferably in financial trading or similarly demanding domains.
Preferred Knowledge and Experience
- Experience supporting electronic trading platforms or high-frequency trading systems.
- Familiarity with capacity planning tools, time series databases (snow flake), and observability platforms.
- Excellent verbal and written communication skills.
- Strong problem-solving skills and the ability to work independently under pressure.
- Demonstrated ability to lead cross-functional initiatives and mentor junior team members.
