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

JP Morgan; London; On-site; GBP 60,000 - 100,000

Job 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 the Cybersecurity and Technology Controls line of business, 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.

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, analyze datasets to uncover insights, and architect cloud-based 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 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 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.
• 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).