Lead Security Engineer - Data/ML Engineering - Python/SQL

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 Cybersecurity Operations, 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.

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


* Analyze large and complex datasets to identify trends, patterns, and insights


* Collaborate with stakeholders to understand operational needs and translate them into actionable data-driven solutions


* Create data visualizations and dashboards to communicate findings to operational teams and non-technical audiences


* Architect and implement cloud-based solutions on AWS, ensuring scalability, reliability, and security


* 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


* Execute 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


* Minimize security vulnerabilities by following industry insights and governmental regulations to continuously evolve security protocols, including creating processes to determine the effectiveness of current controls


* Work with stakeholders and business leaders to understand security needs and recommend business modifications during periods of vulnerability


* Add to a team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering, computer science, or data science concepts and 5+ years applied experience


* 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...