Junior Application Security Analyst - Remote Job, 1+ Year Experience

1 Month ago • 1 Years + • Cyber Security • $64,000 PA - $77,000 PA

Job Summary

Job Description

As a Junior Application Security Analyst at Patterned Learning, you'll play a crucial role in protecting our platform from cyber threats. Responsibilities include conducting comprehensive security assessments of applications and software, mitigating risks from hacking, phishing, malware, and ransomware. You will manage the application security program, work with stakeholders to ensure compliance, assess threats and risks, manage the patching program, and contribute to continuous improvement initiatives. This role requires collaboration with various teams, including SecOps, to build detection and response capabilities, ensuring logging, monitoring, and incident response are effectively implemented. You will also work on compliance and testing, contributing to a robust security posture for our platform.
Must have:
  • Application Security Management
  • Stakeholder Management
  • Threat & Risk Assessment
  • Patching Program Management
  • Compliance & Testing
Good to have:
  • Experience in threat modeling
  • Risk/posture assessments
  • Control implementation
  • Agile and waterfall experience
  • Security certifications (CISSP, CCSP, etc.)
  • Cloud certifications (CSA CCSK, CCSP, AZ-900)

Job Details

This is a remote position.

Junior Application Security Analyst  - Remote Job, 1+ Year Experience


Annual Income: $64K - $77K


A valid work permit is necessary in the US


About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.




Purpose of Role

An Application Security Analyst will play a pivotal role in safeguarding from cyber threats. As a seasoned professional, you will conduct comprehensive security assessments of applications and software, fortifying our digital defenses against hacking, phishing, malware, and ransomware attacks. Your mission: Protecting and empowering our business in an ever-evolving digital landscape.

Key Responsibilities:

  • Application Security: Manage the division-level application security program. Manage security posture for existing divisional applications and establish a prioritized backlog of projects to ensure policy compliance.

  • Stakeholder Management: Work with divisional business, IS&T team members, and technical stakeholders to ensure new projects/applications conform to the Wier application security policy. Act as a Divisional single point of contact for applications security and secure development program. Ensure advice provided is of a high standard and based on the latest best practices, supported by Security Leadership and weighing the cost and risk tolerance of the organization.

  • Threat & Risk Assessment: Assess changes for technical vulnerabilities, and threat models, assess security risk exposure, and identify appropriate controls to bring the risk within tolerance. Delivering risk assessment reports, threat modeling, and risk treatment recommendations in a timely and repeatable manner. Contribute to, and maintain, an effective risk management mechanism to ensure that system owners have an accurate and current view of information risk exposure. Work with SecOps and help them to build use cases to identify, and detect vulnerabilities, logging and monitoring, threat intelligence, and incident response.

  • Patching Program: Manage Applications security Patching Program. Keep track of all divisional applications' security and their security patching version vs status. Coordinating security patch updates with application admins/owners to ensure applications are up-to-date.

  • Continuous Improvement: Work closely with all areas of Security to provide continuous improvement of the advice provided from knowledge gained from analyzing and resolving information security incidents that can be used to reduce the likelihood and/or impact of future incidents.

  • Compliance & Testing: Work closely with specialists in Security Operations to build operational use cases for detection and response capabilities by ensuring Logging and Monitoring, Incident Response, and Threat Intelligence are all considered and included in security requirements, are implemented, tested, and validated by the business change delivery owner.

  • Safety First: Demonstrate 100% commitment to our zero-harm behaviors in support of our drive toward developing a world-class safety culture.

Education and Qualifications:

  • Any equivalent combination of education and experience will be considered for candidates who can perform the objectives above.

  • Understanding of Cloud migration and Application Security development lifecycle and DevSecOps principles, automation, and familiarity with security architecture modeling

  • Knowledge and experience securing Azure and/or AWS

  • Knowledge and experience using at least one risk methodology

  • Security Software as a Service implementations

  • Strong stakeholder management and communication skills and a proven track record of working with businesses to meet strategic objectives

Desirable

  • Experience in threat modeling, risk/posture assessments, and control implementation

  • Experience in agile and waterfall delivery environments

  • Recognized security professional qualifications (e.g CISSP, CCSP, CISMP)

  • Cloud-specific qualifications (e.g – CSA CCSK, CCSP, AZ-900)


Why Patterned Learning LLC?


Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This can help reduce coding errors, improve productivity, and accelerate the development process.


The pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation.




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