Manager of Software Engineering – Java, AWS

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 at JPMorgan Chase within the consumer & community banking- Architecture & engineering, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience
• 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
• Experience leading technology projects
  Experience managing technologists
  Experience with APIs, Web services, Microservices architecture, Database technologies – Oracle, AWS RDS
  Experience with a combination of PySpark, Databricks, Snowflake, Redshift, Data Lakes, data products, Cloud Based Big data technologies and handling Metadata
  Practical experience in developing spark-based Frameworks for end-to-end ETL, ELT & reporting solutions using key components like Spark SQL. 
   

Preferred qualifications, capabilities, and skills

Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Lambda, Step Functions, Event Bridge

Practical Cloud experience – AWS Services

AWS Data Security: Good Understanding of security concepts such as: Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager

Proficient in Machine Learning Frameworks and Big Data technologies such as Spark & Hadoop.

Strong understanding of techniques such as Continuous Integration, Continuous Delivery, Test Driven Development, Cloud Development, application resiliency and security