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Capstone Investment Advisors is seeking a Support Engineer to enhance the reliability of our in-house trading platform, Keystone. This role emphasizes proactive automation and AI-assisted operations to improve efficiency within our Front Office Technology team.
Ideal candidates should have 3-5 years of support experience, a Bachelor's degree in IT, and basic Python skills. The role also involves extended hours and direct collaboration with portfolio managers and traders to resolve technical issues.
Comprehensive benefits, competitive salary between $150,000 and $180,000, and potential annual incentives are provided.
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.
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.
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.
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.
In addition to base compensation, this role is eligible for an annual incentive plan.
Capstone is committed to creating an inclusive environment where we welcome people of different backgrounds. Capstone considers applications for employment without regard to all applicable protected characteristics, including race, color, religion, ethnicity, national origin, gender, sexual orientation, gender identity or expression, age, parental status, veteran status, or disability status.