> Markdown version of [/jobs/ext/4704484-senior-threat-modeler](https://www.wearedevelopers.com/jobs/ext/4704484-senior-threat-modeler). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Threat Modeler - **Company:** Nasscomm, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Contract - **Skills:** Amazon Web Services, User Authentication, Cloud Computing Security, Software Quality, Cyber Security, Python (Programming Language), Network Security, Object-Oriented Software Development, Systems Development Life Cycle, Software Engineering, Data Logging, Scripting, Google Cloud, Cloud Platform System, Mitre Att&ck, Cloudformation, Invoking Functions, Terraform, Devsecops - **Published:** November 13, 2026 - **Apply:** https://www.dice.com/job-detail/77bea3d7-3686-4c15-b316-962428a8106a ## About the Role Mandatory Skills: Threat Modeling, Python Software Engineering, AWS/Google Cloud Platform, Terraform/CloudFormation, * Minimum 6 years of overall IT experience, including at least 4 years in Cybersecurity/Information Security roles across on-premises and cloud environments. * Mandatory associate or professional-level cloud certification (AWS or Google Cloud Platform). * Mandatory associate or professional-level cybersecurity certification. Core Threat Modeling & Security Practices * Demonstrated expertise in Threat Modeling methodologies, including any of the following: * STRIDE * PASTA * MITRE ATT&CK / MITRE ATLAS Strong understanding of security practices covering: * Authentication and Authorization * Logging and Monitoring * Encryption * Infrastructure Security * Network Security and Segmentation Ability to design, assess, and review technical architectures. Technical Skills - Python, IaC & DevSecOps * Strong hands-on Python Software Engineering expertise, including: * Object-Oriented Programming (OOP) * Classes and Objects * Dictionaries * __init__ functions * Function Calling and Function Passing * Error Handling * Code Quality and Best Practices Ability to write, interpret, and analyze Python scripts. Strong AWS/Google Cloud Platform infrastructure knowledge. Hands-on experience understanding and analyzing Infrastructure as Code (IaC), particularly: * Terraform * AWS CloudFormation Understanding of Software Development Lifecycle (SDLC) and CI/CD pipelines. Technical Assessment Candidates must be prepared to clear the Karat Python Software Engineering - Junior Assessment. Important: Python coding proficiency and strong AWS/Google Cloud Platform infrastructure knowledge (particularly Terraform/CloudFormation) are mandatory alongside Threat Modeling and Cybersecurity expertise.