Lead SW Engineer -DataML Engineering PythonSQL

Take on a crucial role where youll be a key part of a highperforming team delivering secure software solutions. Make a real impact as you help shape the future of software security at one of the worlds 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 team that works to deliver software solutions that satisfy predefined 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 tamperproof 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 youll 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 firms 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 analyze datasets to uncover insights and architect cloudbased 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
• Analyze large and complex datasets to identify trends patterns and insights
• Collaborate with stakeholders to understand operational needs and translate them into actionable datadriven solutions
• Create data visualizations and dashboards to communicate findings to operational teams and nontechnical audiences
• Architect and implement cloudbased 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 uptodate 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 objectoriented 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 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
• Handson 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 designingand implementing enterpriselevel 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 bigdata technologies such as Splunk Trino and Apache Iceberg
• AWS certification (e.g. AWS Certified Solutions Architect AWS Certified Developer)