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JPMorgan Lead Security Engineer - Full Stack Development 
United States, Delaware, Wilmington 
245940670

05.02.2025

Are you ready to make a significant impact in cybersecurity? As a Lead Security Engineer at JPMorgan Chase, you'll be a key member of an engineering team that delivers software solutions to meet security requirements and prevent misuse. Your work will directly enable Cyber Operations users and stakeholders, supporting the firm’s business objectives in a collaborative environment that values diversity, equity, and inclusion. You will design, develop, and maintain applications using Python and SQL, build ETL/ELT pipelines, design and implement user interfaces using modern JS frameworks, and architect cloud-based solutions on AWS.

Job responsibilities

  • Design develop, and maintain software applications using Python and SQL. Build and maintain ETL/ELT pipelines and data models within data warehouses, an example pipeline being ingesting data from multiple Cyber Intelligence vendors
  • Design and implement user interfaces using modern JS frameworks (e.g. React, Angular, or Vue.js)
  • Architect and implement cloud-based solutions on AWS, ensuring scalability, reliability, and security
  • Collaborate with cross-functional teams to understand requirements, develop solutions, and deliver high-quality software solutions. Troubleshoot and debug issues, perform root cause analysis, and implement effective solutions
  • Write clean, efficient, and maintainable code in production following best practices and coding standards, such as Test Driven Development and implementing rigorous unit/integration testing. Stay up-to-date with emerging technologies, trends, and best practices in software engineering, cloud computing, and Cybersecurity
  • Conduct code reviews, provide constructive feedback, and mentor team members
  • 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
  • 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
  • Experience developing software engineering solutions for workflow automation.
  • Strong proficiency in Python, with a deep understanding of object-oriented programming principles
  • Strong proficiency in SQL, with experience of building data pipelines, data models, and data transformation within data warehouses, knowledge of tools such as DBT is desired
  • Experience with front-end technologies, such as HTML5, CSS3, and JavaScript frameworks such as React , Angular, and/or Vue.js
  • Knowledge of CSS frameworks, such as Bootstrap, Material UI, and Tailwind CSS. Strong understanding of API protocols and standards
  • Hands-on experience with AWS services such as S3, Lambda, Athena, EC2, SQS, RDS, DynamoDB, etc. Experience with CI/CD pipelines, automated testing, Git and GitHub, containerization, and infrastructure as code (IaC) tools like Terraform.
  • Skilled in planning, designing, and implementing enterprise level security solutions
  • Advanced in one or more programming languages
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

  • Experience with big-data technologies, such as Splunk, Trino, and Apache Iceberg
  • Data Science experience
  • AI/ML experience with building models
  • AWS certification (e.g., AWS Certified Solutions Architect, AWS Certified Developer)