J.P. Morgan
Your seniority as a security engineer puts you in the ranks of the top talent in your field. Play a critical role at one of the world's most iconic financial institutions where security is vital.
As a Security Engineer III at JPMorganChase within the Cybersecurity and Technology Controls line of business, youserve as a seasoned member of a team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. Carry out critical technology solutions with tamper-proof, audit defensible methods across multiple technical areas within various business functions in support of the firm’s business objectives
Job responsibilities
Executes security solutions design, development, and technical troubleshooting with the ability to apply knowledge of existing security solutions to satisfy security requirements for internal clients (e.g., product, platform, application owners) Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Automate security processes: Build and maintain in-house systems to automate the collection, analysis, and dissemination of threat intelligence from various sources. Develop intelligence tools: Build and support automation and investigation tools to help the security team with threat hunting and incident response. Design, develop, and integrate security-focused AI/ML models for purposes like threat intelligence extraction or anomaly detection. Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills
Formal training and or certification on security engineering and 3+ years of applied experience Experience developing security engineering solutions Proficient in coding in one of more languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies and experience with CI/CD, application resiliency, distributed systems, Docker/Kubernetes and security Preferred qualifications, capabilities, and skills
Threat analysis: Knowledge of adversary behavior, malware analysis, and reverse engineering is necessary. Security tools: Experience with security tools like SIEM, SOAR, and EDR is valuable. AI/ML Frameworks: Experience with AI/ML tools and frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience with large-scale data processing and scalable system architecture, including databases and networking.
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Executes security solutions design, development, and technical troubleshooting with the ability to apply knowledge of existing security solutions to satisfy security requirements for internal clients (e.g., product, platform, application owners) Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Automate security processes: Build and maintain in-house systems to automate the collection, analysis, and dissemination of threat intelligence from various sources. Develop intelligence tools: Build and support automation and investigation tools to help the security team with threat hunting and incident response. Design, develop, and integrate security-focused AI/ML models for purposes like threat intelligence extraction or anomaly detection. Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills
Formal training and or certification on security engineering and 3+ years of applied experience Experience developing security engineering solutions Proficient in coding in one of more languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies and experience with CI/CD, application resiliency, distributed systems, Docker/Kubernetes and security Preferred qualifications, capabilities, and skills
Threat analysis: Knowledge of adversary behavior, malware analysis, and reverse engineering is necessary. Security tools: Experience with security tools like SIEM, SOAR, and EDR is valuable. AI/ML Frameworks: Experience with AI/ML tools and frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience with large-scale data processing and scalable system architecture, including databases and networking.
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