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# Security Engineer - Platform Security

- **Company:** Technology Research, LLC
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $180,000.0 - $260,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing Security, Continuous Integration, Identity and Access Management, Python (Programming Language), Network Security, Windows PowerShell, Role-Based Access Control, Cloud Services, Software Engineering, Virtualization Technology, Policy as Code, Cloud Platform System, Large Language Models, Build Management, Kubernetes, Terraform, Golang
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/security-engineer-platform-security-qube-research-technologies-8994063

## About the Role

* 7+ years of experience in security engineering, platform security, cloud security or infrastructure engineering.
 * Strong experience designing secure hybrid infrastructure, ideally including AWS.
 * Deep knowledge of network security, IAM, least privilege and defence-in-depth.
 * Hands-on experience with containers, Kubernetes, virtualisation and workload security.
 * Strong infrastructure-as-code and automation experience, particularly Terraform.
 * Strong scripting or software development skills in Python, Go, PowerShell or similar.
 * Practical experience with threat modelling, CI/CD security and software supply-chain security.
 * Curious, automation-minded and comfortable working with new and unfamiliar technologies.
 * High ownership, can-do and low ego, with strong collaboration, communication and judgement.

## Description

* Design and build secure platforms for the evaluation and adoption of emerging technologies across cloud and on-premises environments.
 * Develop reusable security architectures, isolation patterns, trust boundaries and guardrails.
 * Evaluate new technologies, identify risks and translate them into practical engineering controls.
 * Design security across networks, identity, privileged access, containers, Kubernetes and workload isolation.
 * Automate security by default using infrastructure-as-code, policy-as-code, APIs and software engineering.
 * Apply LLMs, AI-assisted tooling and emerging technologies to improve security engineering and automation.
 * Perform threat modeling and risk assessments for new infrastructure, software, cloud services, and emerging technologies, translating risks into practical controls.
 * Partner with Infrastructure, Engineering, Research, and business teams to deliver secure, usable solutions and communicate risk clearly to technical and non-technical stakeholders.


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