Sr Lead Software Engineer - Data Platforms & Insights

JPMorganChase•Columbus, OH

22h

About The Position

Join our dynamic team to innovate and refine technology operations, impacting the core of our business services. As a Senior Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking this individual will serve as the subject matter expert on various facets of the CCB Data Lake, including data publication, governance, management, consumption, and security. This individual will collaborate with existing architecture, technology, and product teams to effectively influence senior stakeholders across the organization. They will also work closely with other critical AWS software engineering teams from CCB ET&P, CCB Data Technology, Data Engineering, Corporate Technology, and Cybersecurity, in partnership with our product teams. This role requires collaboration with other CCB Software and Data Engineering teams within the firm to align, implement, and uphold software engineering best practices, ensuring the delivery of comprehensive insights, advanced analytics, machine learning, and artificial intelligence applications.

Requirements

Formal training or certification on software engineering concepts and 5+ years applied experience or equivalent expertise troubleshooting, resolving, and maintaining information technology services
Demonstrated knowledge of applications or infrastructure in a large-scale technology environment both on premises and public cloud
Demonstrated AWS cloud expertise and hands-on AWS software engineering experience.
Hands-on experience with four or more AWS data lake and/or analytics technologies: AWS Lake Formation, AWS Glue, Apache Kafka (MSK), AWS Kinesis, AWS Athena, AWS EMR AWS ECS, AWS EKS, AWS Fargate, AWS S3, AWS EC2, Apache Iceberg, Snowflake, Databricks
Proficiency in one or more programming languages: Python, Java, or Scala
Proven ability to build self-service, self-healing, highly scalable, and secure cloud software capabilities.
Proven expertise with software testing, releasing, CI/CD pipeline deployments, and security in AWS cloud.
Demonstrated strength in applying DevSecOps and DevOps development practices.
Experienced with Agile development methodologies, processes, and procedures.

Nice To Haves

Expertise in application, data, and infrastructure architecture disciplines.
Advanced knowledge of architecture and design across all systems.
Proficiency in multiple modern programming languages.
Awareness of industry-wide technology trends and best practices.
Keen understanding of financial control and budget management.
Ability to work in large, collaborative teams to achieve organizational goals, and a passion for building an innovative culture.

Responsibilities

Demonstrate hands-on expertise in AWS data lake publication, governance, consumption, and security.
Provide expert leadership to engineers in designing, coding, testing, and delivering AWS data lake solutions.
Collaborate on innovative design and develop engineering capabilities for advanced AI/ML data and insights.
Code, test, deploy AWS micro-services, event-driven, serverless, and scalable architectures and capabilities.
Offer leadership and expertise in AWS software engineering, leveraging agile team processes.
Define and implement coding principles, standards, designs, frameworks, and chaos testing for engineering.
Build, train, and enhance the skill depth of software engineers to optimize code quality and performance.
Exhibit excellent verbal and written communication skills to articulate technical designs effectively.
Responsible for leading delivery technology systems globally.
The candidate will work closely with regional and global teams to deliver high-quality technology services and projects on time, within scope, and within budget.