Lead Security Engineer Data/ML Engineering - Python/SQL

Description

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 DBT

Experience with data manipulation and analysis using tools like Pandas, NumPy, and SQL

Good understanding of machine learning techniques and statistical methods

Experience with A/B testing and experimental design

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

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 data visualization tools such as Qlik, Tableau, or Power BI

Experience with big-data technologies, such as Splunk, Trino, and Apache Iceberg

AWS certification (e.g., AWS Certified Solutions Architect, AWS Certified Developer)