Jobs › Cboe Global Markets

Sr. Detection Engineer

Cboe Global Markets · Chicago, IL · $130,900–$169,400 a year · Full time

Posted Sep 25, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about a time you emulated an attack technique and the detection you expected to fire didn't. What did you learn?

What they are checking: Comfort with being proven wrong by testing, and the habit of digging into why a control failed.

Tell me about a time you had to push back on an incident responder or analyst who wanted a rule changed in a way you thought was wrong.

What they are checking: How they handle disagreement with teammates while keeping the shared goal of catching real threats in view.

As a hands-on individual contributor, how do you share what you know so the rest of Security Operations gets better at detection too?

What they are checking: Whether a senior person spreads knowledge through documentation and mentoring instead of becoming a single point of failure.

What would you do

A rule you shipped is firing two hundred times a day and the SOC has started ignoring it. What do you do?

What they are checking: Whether they treat alert fatigue as a detection quality problem they own, not something analysts should just live with.

Cboe runs trading and clearing infrastructure where uptime matters a lot. How do you run attack simulations safely in an environment like that?

What they are checking: Judgment about testing offensive techniques without disrupting production systems that the market depends on.

How would you decide which detections to build first if you inherited a team with thin coverage and limited time?

What they are checking: Ability to prioritize by real threat and business risk instead of chasing the easiest or most interesting rules.

About the work

This role writes detection rules and then runs the techniques those rules are meant to catch. Walk me through how you prove a new detection actually works before it goes to production.

What they are checking: Whether they validate detections with real adversary behavior instead of trusting that a rule which compiles will also fire.

Pick a MITRE ATT&CK technique you've written coverage for. What telemetry did you need, and where did the rule still have blind spots?

What they are checking: Honest understanding of data sources and the gaps that remain, rather than claiming full coverage of a technique.

How do you treat detection logic like code? Talk me through version control, testing and review for rules in your last role.

What they are checking: Engineering discipline around detections, which matters when a broken rule silently stops catching anything.

Write out, in plain words, a detection for suspicious use of a legitimate admin tool like PowerShell or PsExec. How do you keep it from flagging normal admin work?

What they are checking: Skill at separating malicious use of living-off-the-land tools from the routine behavior of real administrators.

How do you measure whether your detection program is getting better over time?

What they are checking: Whether they think in measurable coverage and fidelity rather than just counting how many rules exist.

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The full job description

As published by Cboe Global Markets.

Job Description: At Cboe, w e inspire our people to solve complex challenges together because what we do matters. We provide the financial infrastructure that powers the global economy. As a leading provider of market infrastructure and tradable products, Cboe delivers cutting-edge trading, clearing and investment solutions to market participants around the world. We’re building inclusive ways to support professional and personal development while strengthening the trust we’ve earned as a global market leader. Our teams are empowered to share ideas, actively pursue them and bring on a challenge. As champions of internal mobility and access to opportunity, we encourage our people to “go for it” and equip our managers with the training to coach their teams to the next level. Our Associate Resour ce Groups champion diversity, equity and inclusion, giv ing associates a safe space to network, share ideas and create opportunities. Sound like the place for you? Join us! The Security Operations team is hiring a Senior Detection Engineer. The Senior Detection Engineer is a hands-on individual contributor within the Security Operations organization, responsible for writing production detection logic and proving that it works. This role authors the rules, then executes the techniques those rules are meant to catch, building the tooling, sandboxes, and reusable test content required to demonstrate coverage rather than assume it. A detection is not finished when it is written. It is finished when someone has run the attack against it, confirmed it fired, confirmed it stayed quiet on benign activity, and left behind a test case that will re-confirm both after the next platform change. The work spans endpoint, identity, cloud, SaaS, network, and application telemetry. The role requires fluency in attacker tradecraft at a mechanical level: how a technique actually executes , what artifacts it produces, and which of those artifacts are reliable enough to build durable detection logic on. This position partners closely with Threat Hunting, Incident Response, and Security Engineering to ensure detection coverage is measured continuously rather than assumed. To set expectations clearly, this is a detection authoring and validation role, not a data pipeline role. Log source onboarding, parser development, and ingestion engineering are owned elsewhere. You will need to understand our telemetry well enough to know what is and is not detectable with it, and you will be expected to raise gaps when the data cannot support a detection, but building the pipes is not the job. In this role you’ll be responsible for : • Writing, tuning, and maintaining production detection logic across SIEM, EDR, identity, and cloud platforms, with explicit attention to fidelity and false positive cost • Validating every detection by executing the technique it targets, so that no rule reaches production unproven • Building and maintaining internal tooling that simulates adversary behavior on demand, making detection testing repeatable rather than manual • Building reusable validation packages and automated regression testing so coverage is re-verified continuously and after every agent, platform, or configuration change • Building and operating sandbox and detonation infrastructure, including disposable, instrumented environments for exploit triage, malware analysis, and safe technique development • Evaluating newly published proof-of-concept exploit code to determine whether it functions, what telemetry it generates, and whether Cboe is exposed, then converting the answer into detection or hunting content • Producing threat hunting validation content, including seeded artifacts, known-truth datasets, and repeatable test cases that establish whether a hypothesis is testable with the data we hold • Automating the repeatable work: scheduled technique execution, telemetry collection, coverage reporting, and detection performance measurement • Applying AI and LLM tooling where it measurably shortens cycle time, including agentic workflows for triage and enrichment, automated analysis of exploit and malware code, detection and test-case drafting, and hunt hypothesis generation • Conducting security testing of internally built web applications and APIs, and translating findings into detection requirements as well as remediation guidance • Supporting Incident Response during complex investigations with concrete attacker tradecraft insight, and closing the loop by building detections for what the investigation surfaces • Documenting and handing off work so that tooling, environments, and test content can be operated by others independently The ideal candidate has : • 5+ years of hands-on security engineering experience with substantial detection authoring content, and the ability to speak concretely about detections you built, how you validated them, and how they performed in production • Strong command of at least one detection query language (KQL, Sigma, YARA-L, or equivalent) and the judgment to recognize when logic is too brittle or too broad to ship • Practical knowledge of attacker techniques across Windows and Active Directory, Entra ID, cloud platforms (AWS, Azure), SaaS, and containerized workloads, at the level of execution mechanics rather than technique names • The ability to read unfamiliar exploit or malware code and identify the observable artifacts worth detecting on • Real fluency in at least one language used to write tooling (Python, Go, C#, PowerShell , bash, or equivalent • Working knowledge of the telemetry itself, including Windows event logs, EDR process and network events, cloud audit logs, and identity sign-in data, and where each is unreliable, incomplete, or trivially evaded • Comfort building and tearing down test infrastructure using virtualization, containers, infrastructure-as-code, and CI/CD • A disciplined approach to false positives, alert quality, and the operational burden that detections place on analysts • Clear technical writing aimed at engineers, including detection documentation and analyst-facing response guidance • High ethical standards and demonstrated discipline around authorization, scope, blast radius, and handling of sensitive data • Bachelor’s degree or equivalent practical experience You’ll really stand out with : • Public detection content, tooling, or research that we can review • Hands-on experience with atomic testing frameworks or continuous control validation at scale • Use of MITRE ATT&CK as a coverage and gap-analysis instrument rather than a reporting label • Concrete AI engineering experience, such as agentic workflows, tool and MCP integration, or testing LLM-application abuse cases including prompt injection • Reverse engineering, Windows internals, or EDR telemetry and evasion research • Experience operating in regulated or large enterprise environments, especially financial services • A track record of mentoring engineers or building internal training material • Curiosity, adaptability, and a continuous improvement mindset Benefits and Perks We value the total wellbeing of our people – including health, financial, personal and social wellness. We believe standard benefits like health insurance and fair pay are given at any organization. Still, you should know we offer: • Fair and competitive salary and incentive compensation packages with an upside for overachievement • Generous paid time off, including vacation, personal days, sick days and annual community service days • Flexible, hybrid work environment • Health, dental and vision benefits, including access to telemedicine and mental health services • 2:1 401(k) match, up to 8% match immediately upon hire • Discounted Employee Stock Purchase Plan • Tax Savings Accounts for health, dependent and transportation • Employee referral bonus program • Volunteer opportunities to help you give back to your communities Some of our associates’ favorite benefits and perks include: • Complimentary lunch, snacks and coffee in any Cboe office • Paid Tuition assistance and education opportunities • Generous charitable giving company match • Paid parental leave and fertility benefits • On-site gyms and discounts to other fitness centers More About Cboe We’re reimagining the future of the workplace by focusing on what matters most, our people . Our journey is an inclusive one. We’re investing deeply in leadership programs and career development initiatives that ensure everyone has an equal chance to succeed. We celebrate the diversity in our communities, inside and out, and welcome new perspectives with equity, inclusion and belonging. We work with purpose, solving problems with ingenuity, collaboration, and a lot of passion. We’re an engaged and excited team connecting markets across borders and embracing growth in all its forms to achieve incredible outcomes. Learn more about life at Cboe on our website and LinkedIn . Equal Employment Opportunity We're proud to be an equal opportunity employer - and celebrate our associates' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status #LI-CP1 This position is not eligible for visa sponsorship. Candidates must be legally authorized to work in the United States without the need for employer sponsorship now or in the future. Salary Ranges (applicable for US locations only) At Cboe, we are committed to providing a competitive, transparent, and market‑informed total rewards program. The anticipated base salary range for this role is $130,900-$169,400, with actual compensation determined by job‑related factors such as skills, relevant experience, education, internal alignment, and location. This role may also be eligible for annual incentive compensation and, where applicable, participation in Cboe's long-term equity programs. Additional information about Cboe's total rewards program, including benefits and other compensation components, can be found here: Total Rewards at CBOE . ​ Any communication from Cboe regarding this position will only come from a Cboe recruiter who has a @cboe.com email or via LinkedIn Recruiter. Cboe does not use any other third party communication tools for recruiting purposes.

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