Lead Software Engineer

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.

As a Lead Data Engineer at JPMorgan Chase within the Corporate and Investment Banking -

Securities Services Team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firms business objectives.

Job responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way

Develops secure high-quality production code, and reviews and debugs code written by others

Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years of applied experience

Subject matter expertise in Financial Services and/or Data Engineering/Architecture

Hands-on experience with AWS data lake and/or analytics technologies:

AWS Lake Formation, AWS Glue, AWS Athena, EMR, AWS ECS, AWS EKS, AWS Fargate, Kubernetes, AWS S3, AWS EC2

Technical knowledge of data management and governance, and database systems including AWS Aurora, Cassandra, Oracle, Cockroach and DB2

Technical knowledge of Apache Kafka and REST API

Proficiency in both relational and NoSQL databases? with working knowledge in data modeling tools and software (e.g., Erwin, SQL)

Hands-on practical experience delivering system design, application development, testing, and operational stability

Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security

Demonstrated ability to build self-service, self-healing, highly scalable and secure cloud software capabilities

Preferred qualifications, capabilities, and skills

AWS Certification(s)

Hands-on experience with Python

Working experience in Big Data platform technologies: HDFS, Hive, Yarn, Spark, or Kafka

Knowledge and working experience with testing, releasing, and CI/CD pipeline deployments into AWS using:

Tools: Bitbucket, Terraform, SonarCube, Jenkins, Artifactory, DataDog, ServiceNow

Banking domain experience

#J-18808-Ljbffr