JPMorgan Chase & Co.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer, EMR at JPMorgan Chase within the Corporate Sector's AI/ML & Data Platforms team, you play a crucial role in an agile team dedicated to enhancing, building, and delivering reliable, market-leading technology products that are secure, stable, and scalable. In your capacity as a core technical contributor, you will be responsible for implementing critical technology solutions across various technical domains to support the firm's business objectives. You will also take on a leadership role by offering technical coaching and guidance to diverse technical teams, while proactively anticipating the needs and potential dependencies of other functions across the firm.
Job responsibilities
Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
Be accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
Explore, design, evaluate and implement secure Data Lake solutions within an AWS environment, including new offered features
Execute 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 and creates secure and high-quality production code, that maintains algorithms that run synchronously with appropriate systems with reviewing and debugging code written by others
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints - met by software code development
Gathers, analyze, synthesize and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
Identifies and mitigates issues to execute a book of work while escalating issues as necessary
Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience.
Hands‑on practical experience delivering system design, application development, testing, and operational stability with AWS EMR, Glue, Athena, Redshift and Lake Formation.
Experience working at code level with Python, Terraform - focusing on clean efficient code and best practices for scalability.
Advanced in coding one or more programming language(s) (i.e., Python, Java, etc.) and database querying languages.
Experience designing, developing and maintaining production‑grade AWS cloud solutions.
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, mobile, etc.)
Ability to tackle design and functionality problems independently with little to no oversight
Demonstrate knowledge in developing, debugging and maintaining code in large corporate environment, with one or more modern programming languages and databases
Overall knowledge of Software Development Life Cycle, including agile methodologies with CI/CD to rapidly build & test application code, Application Resiliency, and Security
Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
Experience with leading, hiring, developing, and recognizing technology talented teams
Preferred qualifications, capabilities, and skills
Experience working at code level, with code reviews to strive for improvements in software engineering quality
Knowledge working with PCI and sensitive data workloads
Understand database maintenance and ability to write SQL queries, messaging platforms, and knowledge in Kubernetes
AWS Solutions Architect/ Developer or any advanced level certification
Skilled in resolving code issues and proficient in Git for managing repositories and team collaboration
Problem solver and solutions oriented, with strong written and verbal communication skills
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As a Lead Software Engineer, EMR at JPMorgan Chase within the Corporate Sector's AI/ML & Data Platforms team, you play a crucial role in an agile team dedicated to enhancing, building, and delivering reliable, market-leading technology products that are secure, stable, and scalable. In your capacity as a core technical contributor, you will be responsible for implementing critical technology solutions across various technical domains to support the firm's business objectives. You will also take on a leadership role by offering technical coaching and guidance to diverse technical teams, while proactively anticipating the needs and potential dependencies of other functions across the firm.
Job responsibilities
Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
Be accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
Explore, design, evaluate and implement secure Data Lake solutions within an AWS environment, including new offered features
Execute 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 and creates secure and high-quality production code, that maintains algorithms that run synchronously with appropriate systems with reviewing and debugging code written by others
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints - met by software code development
Gathers, analyze, synthesize and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
Identifies and mitigates issues to execute a book of work while escalating issues as necessary
Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience.
Hands‑on practical experience delivering system design, application development, testing, and operational stability with AWS EMR, Glue, Athena, Redshift and Lake Formation.
Experience working at code level with Python, Terraform - focusing on clean efficient code and best practices for scalability.
Advanced in coding one or more programming language(s) (i.e., Python, Java, etc.) and database querying languages.
Experience designing, developing and maintaining production‑grade AWS cloud solutions.
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, mobile, etc.)
Ability to tackle design and functionality problems independently with little to no oversight
Demonstrate knowledge in developing, debugging and maintaining code in large corporate environment, with one or more modern programming languages and databases
Overall knowledge of Software Development Life Cycle, including agile methodologies with CI/CD to rapidly build & test application code, Application Resiliency, and Security
Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
Experience with leading, hiring, developing, and recognizing technology talented teams
Preferred qualifications, capabilities, and skills
Experience working at code level, with code reviews to strive for improvements in software engineering quality
Knowledge working with PCI and sensitive data workloads
Understand database maintenance and ability to write SQL queries, messaging platforms, and knowledge in Kubernetes
AWS Solutions Architect/ Developer or any advanced level certification
Skilled in resolving code issues and proficient in Git for managing repositories and team collaboration
Problem solver and solutions oriented, with strong written and verbal communication skills
#J-18808-Ljbffr