Take on a crucial role where you'll be a key part of a high-performing team delivering secure software solutions. Make a real impact as you help shape the future of software security at one of the world's largest and most influential companies. As a Lead Security Engineer at JPMorgan Chase within the Cybersecurity and Technology Controls line of business, you are an integral part 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. 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.
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, and architect cloud-based solutions on AWS.
Job responsibilities
Execute software engineering solutions, including design, development, and technical troubleshooting with the ability to apply knowledge of existing solutions to satisfy security requirements for Cyber Operations users and stakeholders (., clients, users, product, platform, application owners). Design, develop, and maintain software applications using Python and SQL. Design and implement user interfaces using modern JS frameworks (. React, Angular, or . Build and maintain ETL/ELT pipelines and data models within data warehouses, an example pipeline being ingesting data from multiple Cyber Intelligence vendors. 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. Conduct code reviews, provide constructive feedback, and mentor team members. Stay up-to-date with emerging technologies, trends, and best practices in software engineering, cloud computing, and Cybersecurity. Add to a team culture of diversity, equity, inclusion, and respect.
Required qualifications, capabilities, and skills
Bachelor's degree in Computer Science, Engineering, or a related field and/or proven work experience as a Software Engineer, preferably in a cloud-based environment. 5+ years of work-related experience in a professional software engineering role. 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. Knowledge of JavaScript frameworks, such as React (preferred), Angular, and . Knowledge of CSS frameworks, such as Bootstrap, Material UI, and Tailwind CSS. Strong understanding of API protocols and standards, including REST and GraphQL. 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. Solid understanding of agile methodologies and DevOps best practices, such as CI/CD, application resiliency, security, and Test Driven Development. Excellent problem-solving skills, attention to detail, and ability to work independently or as part of a team. Strong communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels, provide training, and solicit feedback.
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 (., AWS Certified Solutions Architect, AWS Certified Developer).
