Senior Threat Modeler

Nasscomm, Inc.
United States
3 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

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
+7 more
Google Cloud Cloud Platform System Mitre Att&ck Cloudformation Invoking Functions Terraform Devsecops

Requirements

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.

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