Application Support Engineer

Capstone Investment Advisors, LLC (“Capstone”) is a global asset manager dedicated to exploring alpha opportunities in derivatives and complementary strategies that persist across market cycles. With approximately $11.8 billion of AUM (as of November 1, 2025) and 326 employees, Capstone is headquartered in New York with offices in London, Amsterdam, Stamford, Los Angeles, Boston, Tokyo, Milan, Texas, and Maryland. Since 2004, we have sought to anticipate and harness the complexities of world markets through strategic insight, market-leading expertise, and advanced technology.

About the role

We are looking for a technically curious support engineer to join our Front Office Technology team. Your foundation will be owning the reliability and day-to-day operation of Keystone—Capstone's in-house trading platform—working directly alongside portfolio managers, quant researchers, traders, and operations teams to ensure the system performs when it matters most.

This role is about more than keeping the lights on. We're investing heavily in AI-assisted operations, infrastructure observability, and automating away the manual checks and reactive firefighting that define legacy support functions. You will contribute directly to that modernization by writing Python tooling, building Grafana dashboards, developing AI-assisted incident detection, and shaping how operational support looks at Capstone over the next few years.

This is an on-call role. You will be expected to respond to production issues outside standard hours while consistently working to reduce the frequency and manual burden of those moments through better tooling and automation.

Responsibilities

• Design and build Python-based tooling to automate recurring operational checks, reducing manual intervention and improving system observability
• Develop and maintain Grafana dashboards and alerting infrastructure to shift the team from reactive troubleshooting to proactive detection
• Contribute to Capstone's AI capabilities in an operational context, including AI-assisted alert triage and anomaly detection
• Identify repeating failure patterns and engineer permanent solutions rather than recurring workarounds
• Maintain clear, high-quality documentation of systems, workflows, and runbooks with a bias toward making documentation redundant through automation
• Monitor and maintain the health of our technology platform (Keystone) and related trading applications throughout the trading day
• Respond to and resolve production incidents across trading systems, managing communications with investment, risk, and operations teams
• Perform QA testing for new functionality ahead of release
• Liaise with external brokers and vendors on order flow and market data issues
• Collaborate with development teams to escalate and resolve complex technical problems
• Build and maintain relationships with business stakeholders across investment and middle office teams

Requirements

• Bachelor’s degree in an IT-related discipline
• 3-5 years of experience in a production or application support function, ideally within financial services or a trading environment
• Strong Python skills—you write tooling, not just scripts
• Working knowledge of FIX protocol, Linux, and SQL Server
• Experience with observability or monitoring tools (Grafana, or similar)
• Familiarity with trading or execution systems (EMSX, Flextrade, or similar EMS)
• Exposure to market data platforms, Git, and Jira
• Curiosity about AI/LLM tooling and how it can be applied in an operational context
• Resilience to operate under pressure during market hours, and the drive to make those moments rarer over time

Benefits

• Training and development opportunities
• Robust wellness resources: physical, mental, and financial
• Time-off, retirement, and commuter benefits
• Gym reimbursement and other discounts

Pay

The applicable base salary range for this role is $150,000–$180,000. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives and an annual incentive plan.