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JPMorgan Lead Security Engineer - Full Stack Software 
United States, Ohio, Columbus 
966191483

26.06.2024

As a Lead Security Engineer at JPMorgan Chase within the Cybersecurity and Technology Controls organization, you are an integral part of 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. As a core technical contributor, you are responsible for carrying out critical technology solutions with tamper-proof, audit defensible methods across multiple technical areas within various business functions.

As a full-stack software and design lead in our Assurance Foundations developer team, we look for people who are passionate about solving problems through innovation and engineering practices. You'll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, front end and back, as well as partner continuously with your stakeholders and more junior colleagues to keep us focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You’ll work in a collaborative, trusting, thought-provoking environment—one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally.

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
  • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
  • Actively contributes to the engineering community as an advocate of firm wide frameworks, tools, and practices of the Software Development Life Cycle
  • Adds to team culture of diversity, equity, inclusion, and respect

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: Java (required), C/C++, Python
  • Proficient in all aspects of the Software Development Life Cycle. Ability to fully deliver applications to satisfy business requirements - design, develop, code, test, debug and document.
  • Proficient in full stack development having experience creating REST based services on Java/Spring/Spring Boot, UI development using React
  • Strong UX experience, from design to realization, ideally partnering with UX teams, using mockup tools (Balsamiq, Figma) and building front end layout (React, Camunda)
  • Advanced understanding of agile methodologies such as CI/CD (bitbucket, github, Jenkins and Maven), Application Resiliency, and Security.
  • Knowledge of application design and design patterns, including micro service and cloud design patterns
  • Experience with Graph Databases, including Cypher and Gremlin, or Relational Databases including DML, DDL, and PL/SQL
  • Test driven development using modern source control and continuous integration
  • End to end cloud native app delivery experience - AWS preferred

Preferred qualifications, capabilities, and skills

  • Experience in AWS Data Analytics platform and related services - S3, AWS Glue, RedShift, Athena, Lake Formation, Lambda etc.
  • Experience in building data pipelines using Spark/Glue
  • Experience in GraphQL API interfaces
  • Good understanding of Data Warehousing and Data Modelling concepts on AWS Redshift