Senior Manager of Software Engineering; VP - AWS Redshift

When you mentor and advise multiple technical teams and move financial technologies forward, it’s a big challenge with big impact. You were made for this. 

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.

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

Required qualifications, capabilities, and skills

• 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

Preferred qualifications, capabilities, and skills

• 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