feat(citadel): Phase 0 for Citadel Securities Platform Engineer, Zurich

Evidence Fit 74/100, Adjacent at the top of the band, hard gate PASS
with one flagged risk. Phase 1 not started - user asked for Phase 0 only.

The stack alignment is the best in the log: zero Gaps across all seven
minimum qualifications, and all five preferred technologies (Kafka,
Kubernetes, Spark, Airflow, distributed databases) are Direct and
production-current.

What holds it at 74 is that the title-defining function splits. R2 -
ingestion, transformation, storage and lifecycle management of large
datasets - is Direct and describes SW-1/SW-7 almost word for word. R1 -
design and build the distributed research platform itself - is Adjacent,
the same authoring-vs-building shape as Aker BP, and it cannot be
written around: Scope Discipline forbids pairing a full-ownership verb
with an org-scale object, so it can only be honestly bridged.

Recorded the classification conflict rather than hiding it.
application_strategy.md says a defining responsibility that is only
Adjacent makes the role Stretch; that strict reading applies to R1. It
is filed as Adjacent because R2 is equally title-defining and is Direct,
and because Aker BP set that precedent at 79. Both cohort slots are free
either way, so the label changes nothing operationally.

Corrections the user was right about, now recorded so a later run does
not repeat them: Go is NOT a gap, because Q3 is disjunctive and Python
satisfies it outright; and a production Kafka/K8s/Spark/Airflow estate
IS a distributed system, so Q4 is Direct rather than a stretch.

Two traps written down explicitly. The $175,000-350,000 base range is a
US pay-transparency disclosure under NY law and says nothing about the
Zurich figure - it must be asked, not assumed. And the sibling reqs that
web search surfaces as closer title matches (Research Platform - Data
Platform Engineer, Research Platform Infrastructure Engineer) are dead:
404 and Cloudflare-blocked, absent from the live board. Those Built In
listings are stale.

JD saved verbatim via Playwright; WebFetch returns 403 on this host.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MHtzyTKBcg6BWhD5qFegtK

JDs/JD_CitadelSecurities_PlatformEngineer.txt

@@ -0,0 +1,59 @@
+SOURCE URL: https://www.citadelsecurities.com/careers/details/platform-engineer/
+RETRIEVED: 2026-08-25 via job_scout/.venv Playwright (chromium, headless)
+METHOD NOTE: WebFetch returns HTTP 403 on this host; Playwright required.
+VERBATIM: yes - full visible posting body, unedited except removal of site
+  navigation chrome (menu, footer, cookie/legal links).
+========================================================================
+
+Platform Engineer
+
+New York, Miami, Zurich
+
+Job Description
+Role Overview:
+Citadel Securities is seeking an exceptional Platform Engineer to join our Research Platform Engineering team in Miami, Zurich or New York. Our Research Platform teams are at the forefront of designing and developing the distributed systems, data platforms, and research infrastructure that power large-scale simulations, analytics, and model development across the firm. These systems are critical in allowing researchers to transform data into actionable insights and alpha-generating trading strategies.
+Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel, please share your details and we will contact you if there is a vacancy available.
+Responsibilities:
+Design and build distributed platforms and services that support quantitative research, simulations, AI-powered applications, and large-scale analytics workflows
+Develop scalable platform services and data systems for ingestion, transformation, storage, and lifecycle management of large datasets
+Build and maintain backend services, APIs, and SDKs that improve researcher productivity and self-service capabilities
+Improve performance, reliability, and scalability of critical research systems operating in high-throughput environments
+Collaborate closely with researchers and engineers to translate research requirements into production-read systems
+Qualifications:
+Bachelor’s degree in Computer Science or a related field
+3+ years of professional software engineering experience
+Strong programming skills in Python, Go, or C++, or similar systems-oriented languages
+Experience building and operating distributed systems in production environments
+Experience designing scalable backend services, APIs, and data-intensive applications
+Strong understanding of distributed systems, data-intensive applications, and system design fundamentals
+Experience with cloud platforms (AWS, GCP, Azure) and modern infrastructure technologies
+Experience with technologies such as Kafka, Kubernetes, Spark, Airflow, distributed databases, or similar systems is a plus
+
+
+In accordance with applicable law, the base salary range for this role is $175,000 to $350,000.
+
+In addition, the employee who fills this role will be eligible to participate in a discretionary incentive compensation program, as well as a wide array of benefit programs, such as medical and life insurance, retirement and tax-free savings plans, and access to other healthcare programs.
+
+About Citadel Securities
+
+Citadel Securities is a technology-driven, next-generation global market maker. We provide institutional and retail investors with world-class liquidity, competitive pricing and seamless front-to-back execution in a broad array of financial products. Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market’s and our clients’ most critical challenges. Together, we are forging the future of capital markets. For more information, visit citadelsecurities.com.
+
+About Citadel Securities
+
+Citadel Securities is a technology-driven, next-generation global market maker. We provide institutional and retail investors with world-class liquidity, competitive pricing and seamless front-to-back execution in a broad array of financial products. Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market’s and our clients’ most critical challenges. Together, we are forging the future of capital markets. For more information, visit citadelsecurities.com.
+
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+
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