JPMorgan Senior Manager Software Engineering - Full Stack AWS 

United States, Texas, Plano 

193102072

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
• Ensures successful collaboration across teams and stakeholders
• 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, equity, inclusion, and respect for team members and prioritizes diverse representation

Required qualifications, capabilities, and skills

• Formal training or certification in Data Engineering concepts with 5+ years of applied experience.
• Proven experience leading teams of technologists through design, development, test and deploy
• Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
• Experience with hiring, developing, and recognizing talent
• In-depth knowledge of the services industry and their IT systems
• Development experience on private cloud, AWS public cloud (EC2, S3, RDS, Lambda, EMR, Step functions, Glue), ETLs and Data Pipeline
• Experience in API engineering, REST, GraphQL, Apigee / AWS API gateways, authorization and authentication, throttling, security policies, load balancing, and resilient implementation
• Realtime messaging framework implementations e.g. SNS, Kafka
• Degree in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies, REACT UI framework
• AWS Certification
• Addepar product API experience
• Experience with LLM, GenAI implementation