Cybersecurity Engineer at Grayscale Investments
Stamford, CT
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Jul 19, 2026
Stamford, CT
Jul 21, 2026
What this job asks for AI summary
A hands-on security engineering role focused on building and maintaining security controls across cloud infrastructure, enterprise applications, and AI-enabled systems at a digital asset investment firm. Day-to-day work covers embedding security into CI/CD pipelines and the software development lifecycle, threat modeling, detection and monitoring, and identity and access management. Best suited to engineers with cloud-native security experience who are comfortable writing code and operating within regulated financial environments.
Senior level · 5+ years · National · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $132,021 (middle half $99,961–$167,095).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
No work location is specified in the posting; the CBSA and state fields are left blank. The role may be remote or based at Grayscale's headquarters (Stamford, CT / New York area), but the JD does not confirm either.
The role sits at the intersection of security engineering and software development — it requires both hands-on coding/automation (Python, Terraform, IaC) and security-domain expertise (threat modeling, SSDLC, SIEM/SOAR). 15-1212 was chosen as primary because the security mandate (controls, detection, incident response, compliance) is the explicit focus; 15-1252 is a credible runner-up given the strong build-and-automate emphasis.
AWS is listed as 'preferably AWS' within the required qualifications block — the cloud-native security experience is a hard gate; AWS is the named preferred platform, with Azure/GCP as accepted alternatives.
Python and Terraform are cited together as examples of 'strong programming and scripting capabilities' in the required qualifications; both are named explicitly and treated as hard gates.
SIEM/SOAR is listed as a single compound requirement under required security tooling experience; SOAR is captured as an alternative since either satisfies the stated requirement.
AI/ML systems and LLMs are explicitly called out as 'a plus' — listed as preferred accordingly.
Financial services / regulated-environment experience is noted as 'preferably within financial services' — a preference, not a hard gate, so it is not emitted as a skill (it names no specific technology or tool).
Read the full posting
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