What are the responsibilities and job description for the Senior Lead Security Engineer - Python/AWS/Kafka position at JPMorgan Chase?
Join a team where you can play a crucial role in shaping the future of a world-renowned company and make a direct and meaningful impact in a space designed for top performers.
As a Senior Lead Security Engineer at JPMorgan Chase within the Cybersecurity Technology & Controls, you are an integral part of an agile 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. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of cybersecurity challenges that span multiple technology domains.
Job responsibilities
- Facilitates security requirements clarification for multiple networks to enable multi-level security to satisfy organizational needs
- Works with stakeholders and senior business leaders to recommend business modifications during periods of vulnerability
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors, leveraging cloud-native backend systems and infrastructure-as-code tools such as Terraform and AWS CloudFormation
- Architect and deploy scalable solutions on AWS Cloud & develops secure and high-quality production code, and reviews and debugs code written by others, utilizing modern CI/CD workflows and containerization technologies (Docker)
- Drives decisions that influence the product design, application functionality, and technical operations and processes, including the serverless solutions
- Serves as a function-wide subject matter expert in one or more areas of focus, such as scalable backend development, AI-powered agents, and data automation pipelines
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle, including observability and monitoring solutions (CloudWatch, Datadog, Prometheus)
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies, such as LLMs (OpenAI, Bedrock), AI frameworks (LangChain, LlamaIndex), and vector databases (OpenSearch)
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5 years applied experience, including backend software development using Python
- Hands-on practical experience delivering system design, application development, testing, and operational stability in AWS Cloud environments
- Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Advanced in one or more programming language(s), with deep expertise in Python and experience designing RESTful APIs and microservices
- Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, etc.), including data modeling with SQL databases (PostgreSQL,Aurora)
- Ability to tackle design and functionality problems independently with little to no oversight, including integrating AI/LLM-based services and building intelligent automation components
- Practical cloud native experience, including exposure to event-driven and serverless architectures, and understanding of security best practices in AWS environments (IAM, KMS, VPC, Secrets Manager)
- Skilled in planning, designing, and implementing enterprise-level security solutions