Application Support Engineer
Capstoneinvestmentadvisors · New York, New York · Posted Jul 1, 2026
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We see the world differently at Capstone Investment Advisors. You will, too.
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 $12.5 billion of AUM (as of May 1, 2026) and 306 employees, Capstone is headquartered in New York with offices in London, Amsterdam, Stamford, Los Angeles, Boston, Tokyo, Milan, Texas, and Maryland. Since 2004, through strategic insight, market-leading expertise, and advanced technology, we have sought to anticipate and harness the complexities of world markets, creating unique opportunities for our clients, team, and industry.
With our sophisticated, global client base, we recognize that our success is deeply connected to real people. For that reason, we take a human approach to everything we do, focusing largely on collaborative performance. Our workflow and process are built around the belief that by sharing ideas, we achieve greater outcomes. This gives you greater access to resources, direct exposure to senior leadership, and new opportunities to experiment and innovate.
Overview:
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.
But 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. We want someone who treats every repeated manual task as a bug to fix, every alert gap as an engineering problem, and every incident as an opportunity to build something that prevents the next one. You will contribute directly to that modernisation -- 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. What we're looking for is someone who leans into that responsibility while consistently working to reduce the frequency and manual burden of those moments through better tooling and automation.
Responsibilities and Impact:
Operate and support
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
Build and automate
Identify repeating failure patterns and help engineer permanent solutions rather than recurring workarounds
Develop and maintain Grafana dashboards and alerting infrastructure to shift the team from reactive troubleshooting to proactive detection
Maintain clear, high-quality documentation of systems, workflows, and runbooks
Build automated solutions to handle recurring operational checks, reducing manual intervention and improving system observability
Contribute to Capstone's AI capabilities in an operational context
Our future colleague has these skills:
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
Basic Python skills
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
The resilience to operate under pressure during market hours, and the drive to make those moments rarer over time
Benefits Compensation Information:
Our team is our most important asset and investment. We value and respect our colleagues and their well-being inside and outside the workplace and our culture reflects this. We offer a robust and competitive benefits program to ensure the well-being of our colleagues.
Some benefits included in this role are:
Training and development opportunities
Robust Wellness Resources: Physical, Mental and Financial
Time-Off, Retirement and Commuter Benefits
Gym Reimbursement and other Discounts
The applicable base salary range for …