Security Engineering Lead
LocationNew York, NY, United States
Posted2 hours ago
Hudson River Trading (HRT) is seeking an experienced Security Engineer to join our growing Enterprise Security team. This team is responsible for securing the systems and tools HRT employees rely on every day, including managing AI security, Cloud Security Posture Management (CSPM), Identity and Access Management (IAM), Public Key Infrastructure (PKI), Endpoint Security, Vulnerability Management, and protecting HRT’s infrastructure across on-prem and cloud environments.
In this role, you will lead a small team of security engineers focused on enabling employees to work safely and productively from any device, anywhere. The ideal candidate is a hands-on, technical leader and security generalist with broad experience developing practical security solutions that enhance both protection and user experience, and the ability to quickly adapt in a fast-paced environment. Responsibilities range from managing device posture and machine identity across thousands of endpoints, to identifying vulnerabilities in servers, containers, and serverless workloads, securing AI agents with guardrails and containerization, and advising teams on securing productivity applications.
Responsibilities
Define technical strategy for securing enterprise products and services
Design, review, and implement robust security hardening solutions for hosts and workloads spanning multiple data centers, colocation facilities, public cloud services, offices, and remote endpoints running various operating systems and applications
Build and maintain a unified vulnerability management solution from disparate agents, scanners, SBOM tools, and threat intelligence feeds
Partner with developers, engineers, and vendors across the organization to identify, prioritize, and drive initiatives in AI security, IAM, PKI, endpoint security, and more
Foster a high-performing and inclusive team environment
Execute projects smoothly, both as an individual contributor and as a project lead
Qualifications
7+ years of experience in security engineering
2+ years of experience leading a technical team
Experience hardening Linux environments at scale using configuration management and infrastructure-as-code tooling
Experience in cloud security posture management on GCP, Azure, and/or AWS
Familiarity with emerging generative AI security tooling and best practices (guardrails, agents, sandboxing, MCP security, etc.)
Familiarity with endpoint security technologies on macOS and Windows
Familiarity with PKI workflows: certificate templates, issuance, renewal and revocation
Proficiency in Python is required
Strong ability to make principled decisions, balancing workforce productivity with security needs
Curious, agile, eager to learn, and capable of implementing novel solutions, even when confronted with complexity or uncertainty
Experience working with partners throughout the business to achieve company-wide impact
The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.
Culture
In this role, you will lead a small team of security engineers focused on enabling employees to work safely and productively from any device, anywhere. The ideal candidate is a hands-on, technical leader and security generalist with broad experience developing practical security solutions that enhance both protection and user experience, and the ability to quickly adapt in a fast-paced environment. Responsibilities range from managing device posture and machine identity across thousands of endpoints, to identifying vulnerabilities in servers, containers, and serverless workloads, securing AI agents with guardrails and containerization, and advising teams on securing productivity applications.
Responsibilities
Define technical strategy for securing enterprise products and services
Design, review, and implement robust security hardening solutions for hosts and workloads spanning multiple data centers, colocation facilities, public cloud services, offices, and remote endpoints running various operating systems and applications
Build and maintain a unified vulnerability management solution from disparate agents, scanners, SBOM tools, and threat intelligence feeds
Partner with developers, engineers, and vendors across the organization to identify, prioritize, and drive initiatives in AI security, IAM, PKI, endpoint security, and more
Foster a high-performing and inclusive team environment
Execute projects smoothly, both as an individual contributor and as a project lead
Qualifications
7+ years of experience in security engineering
2+ years of experience leading a technical team
Experience hardening Linux environments at scale using configuration management and infrastructure-as-code tooling
Experience in cloud security posture management on GCP, Azure, and/or AWS
Familiarity with emerging generative AI security tooling and best practices (guardrails, agents, sandboxing, MCP security, etc.)
Familiarity with endpoint security technologies on macOS and Windows
Familiarity with PKI workflows: certificate templates, issuance, renewal and revocation
Proficiency in Python is required
Strong ability to make principled decisions, balancing workforce productivity with security needs
Curious, agile, eager to learn, and capable of implementing novel solutions, even when confronted with complexity or uncertainty
Experience working with partners throughout the business to achieve company-wide impact
The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.
Culture
Apply on Arbeitnow →
Job sourced from Arbeitnow. Applications happen directly on the original platform — we never collect your data.