The Lead Software Engineer will develop secure software solutions, mentor team members, manage high-volume data, and evaluate architecture with external vendors.
Job Description
Cloud, Data Mesh, event-driven systems and high volume data management are some of the patterns & technologies which are driving the future architecture at JPMC.
As a Lead Software Engineer at JPMorgan Chase within the Secure Insight team, you will have the opportunity to impact your career and push the limits of what's possible. You will be at the forefront of maturing patterns and technologies such as Cloud, Data Mesh, event-promoten systems, and high volume data management. You will be responsible for executing creative software solutions, developing secure high-quality production code, and leading evaluation sessions with external vendors, startups, and internal teams. You will also act as a coach and mentor to team members on their assigned project tasks. This role provides an opportunity to solve complex production use cases and contribute to a culture of diversity, equity, inclusion, and respect.
Job responsibilities
Required qualifications, capabilities, and skills
Preferred qualifications, capabilities, and skills
Cloud, Data Mesh, event-driven systems and high volume data management are some of the patterns & technologies which are driving the future architecture at JPMC.
As a Lead Software Engineer at JPMorgan Chase within the Secure Insight team, you will have the opportunity to impact your career and push the limits of what's possible. You will be at the forefront of maturing patterns and technologies such as Cloud, Data Mesh, event-promoten systems, and high volume data management. You will be responsible for executing creative software solutions, developing secure high-quality production code, and leading evaluation sessions with external vendors, startups, and internal teams. You will also act as a coach and mentor to team members on their assigned project tasks. This role provides an opportunity to solve complex production use cases and contribute to a culture of diversity, equity, inclusion, and respect.
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
- 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
- Act as the coach and mentor to team members on their assigned project tasks
- Develop a cohesive data engineering team and ensure their continued success
- Conduct product work reviews with team members
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Experience with AWS enterprise implementations including Redshift, S3, EC2, Data Pipeline, & EMR
- Hands-on experience in working with SPARK and handling terabyte size datasets
- Programming Experience in Java Development and/or expereince of Python experience
- Experience in implementing complex ETL transformations on big data platform like NoSQL databases (Mongo, DynamoDB, Cassandra)
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in one or more programming language(s)
- Proficiency in automation and continuous delivery methods
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience
Preferred qualifications, capabilities, and skills
- Analyze, design and code business-related solutions, as well as core architectural changes, using an Agile programming approach resulting in software delivered on time and in budget
- Comfortable learning cutting edge technologies and applications to greenfield project
Top Skills
AWS
Cassandra
Cloud
Data Mesh
Data Pipeline
DynamoDB
Ec2
Emr
Java
MongoDB
NoSQL
Python
Redshift
S3
Spark
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