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JPMorgan Lead Security Engineer - Java Backend Terraform AWS AI/ML 
India, Karnataka, Bengaluru 
794925577

06.07.2024


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
  • Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

  • Formal training or certification on security engineering concepts and 5+ years applied experience
  • Experienced developer with solid coding skills in Java (using latest JDK framework) specifically on Spring and Spring Boot.
  • Solid Experience on Python and Proficient in UNIX shell scripting and use of CLI tools.
  • Solid exposure to Microservices based architectures and UI frameworks such as react and angular.
  • Solid Experience on Cloud computing and Cloud native deployments (Terraform, AWS, Docker, K8s).
  • Solid knowledge of Oracle or MySQL & SQL programming with the ability to write and maintain stored procedures.
  • Completely hands on and should be open to mentoring, developing and contributing as a team.


Preferred qualifications, capabilities, and skills

  • Solid Domain Knowledge in AI/ML Security, MLSecOps.
  • Solid Knowledge on Core Security Technologies.
  • Good Exposure to other programming languages such as Scala, Kotlin, Groovy and C++.
  • Excellent analytical and problem solving skills with strong written and verbal communication skills.