Senior Application Security Engineer

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Position: Application Security Engineer
Location: Alpharetta, GA or New York City, NY
Duration: Contract
Job ID: 178781

Job Overview:
The Application Security Engineer will be part of the Cloud Security & Developer Enablement team, which is responsible for implementing the organization's Cybersecurity Strategy. This role involves architecting, engineering, deploying, and operating technical security controls and capabilities for the enterprise. The focus is on architectural rigor, automation, agile delivery, and adoption of cloud and application security control implementations by the development community.

Responsibilities:

• Implement organization-specific security policies in CI/CD security tools, including SAST, OSS, and SCA applications.
• Collaborate with Development, DevOps, and Security teams to develop automated security and compliance capabilities supporting DevSecOps processes.
• Define security rules for web and mobile applications written in .NET, Java, React, Python, and other languages.
• Provide a secure and stable platform for enforcing application security controls using development and security expertise.
• Support security standards and design, and implement architectural patterns to enhance the resiliency and scalability of the security platform.
• Work with partners to implement, manage, and optimize security measures within GitHub repositories to improve code integrity and protect against vulnerabilities.

Qualifications:

• 5+ years of software development experience using Python.
• Experience working with APIs, including ReST.
• Proficiency in unit testing frameworks and multi-process/multi-thread architecture.
• 5+ years of experience in Linux with strong bash scripting skills.
• Deep understanding of CI/CD pipelines.
• Working knowledge of Windows environments and simple scripting (e.g., DOS batch).
• Bachelor's degree with 10+ years of IT field experience.
• Ability to process large datasets for reporting and analysis.

Desired Skillset:

• Self-starter with a strong desire to learn new technologies and apply them to solve problems.
• Knowledge of SAST and OSS technologies.
• Ability to perform Python code reviews with minimal assistance.
• Expertise in monitoring, alerting, reporting, and data analysis.
• Experience with application build environments like Jenkins, GitHub Actions, and TeamCity.
• Familiarity with DevOps container/orchestration tools such as Kubernetes, Docker, and Puppet.
• Experience with security tools like DAST, RASP, WAF, vulnerability scanners, container analyzers, and open-source scanning.

About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit ;br>
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• Pay any fee to be considered for, submitted to, or selected for any opportunity.
• Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.
• Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.

Pay Range: $75.00 - $78.00/hr.

The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.

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During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.

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