Senior Manager of Software Engineering; VP - AWS Redshift

JPMorgan Chase & Co.•Plano, TX

15h

About The Position

As a Senior Manager of Software Engineering - AWS Cloud / Data Platforms at JPMorgan Chase within the Corporate Sector's AI/ML & Data Platforms team, you will assume a leadership position by providing technical coaching and guidance to diverse technical teams. Furthermore, you will actively anticipate the requirements and potential dependencies of other functions across the firm.

Requirements

Formal training and 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 Glue, EMR, Athena, Redshift and Lake Formation
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 cloud solutions in Cloud ecosystems (i.e. AWS, GCP and Azure)
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
Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field, with in-depth knowledge of the services industry and IT systems

Nice To Haves

Experience working at code level, with code reviews to strive for improvements in software engineering quality
At least 2+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise.
Knowledge working with PCI and sensitive data workloads
Experience working at code level with Python, Terraform, Java/spring - focusing on clean efficient code and best practices for scalability
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

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
Creates a culture of diversity, opportunity, inclusion, and respect for team members and prioritizes diverse representation