JPMorgan Lead Security Engineer- Big Data Architecture 

United States, Delaware, Wilmington 

265529575

works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing
misuse, circumvention, and malicious behavior. As a core technical contributor, you are responsible for carrying out critical technology

Job responsibilities

• Executes creative security solutions, design, development, and technical troubleshooting with the ability to think beyond
  routine or conventional approaches to build solutions and break down technical problems.
• Develops secure and high-quality production code and reviews and debugs code written by others.
• Minimizes security vulnerabilities by following industry insights and governmental regulations to continuously evolve
  security protocols, including creating processes to determine the effectiveness of current controls.
• Works with stakeholders and business leaders to understand security needs and recommend business modifications during
  periods of vulnerability.
• Conducts discovery, vulnerability, penetration testing, and threat scenarios on multiple organizational assets to identify and
  assess if vulnerabilities are present, and executes threat modeling for multiple applications including external applications
  interacting with the internal JPMorgan Chase network.
• Works across customer engineering teams to help apply our framework and applications to their problem domain.
• Prototypes and recommends changes and additions to system components based on engineering customer experiences.
• Focuses on an integrated system approach to delivery versus ad-hoc add- ons to the architecture; looks for commonality
  and patterns in the needs of the engineering teams.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Skilled in planning, designing, and implementing enterprise level security solutions.
• Advanced in one or more programming languages like Java or Python.
• Proficient in all aspects of the Software Development Life Cycle.
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• Understand requirements management processes for highly regulated environments.
• Cloud experience (AWS, Azure) and delivery mechanisms such as Terraform.
• Kubernetes and related tooling experience.
• Experience with threat modeling, discovery, vulnerability, and penetration testing.
• In-depth knowledge of the financial services industry and their IT systems.
• Experience with big data platforms and technologies such asApache Flink, Apache Spark, Trino, Kafka, Apache Iceberg.

Preferred qualifications, capabilities, and skills

• Experience effectively communicating with senior business leaders.
• Experience with Data Lake and Lake House Architectures and tooling.