JPMorgan AWS/Scala/Java Software Engineer III 

United States, New Jersey, Jersey City 

415926040

Job responsibilities

• Executes standard software solutions, design, development, and technical troubleshooting
• Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
• Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
• Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
• Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages in this order: Scala, Java, Python
• Strong Big-Data and database skills
• Experience with AWS cloud computing using ECS, EKS, EMR, Lambda, etc.
• Well-versed with data structures and algorithms and efficient coding practices
• Experience in developing, debugging, and maintaining code in a large corporate environment
• Ability to collaborate well with global teams in geographically distributed locations across time zones
• Self-starter, able to reach out to various team members, users and partner teams to get solutions delivered
• Familiar with agile development methodologies (e.g., Scrum) and CI/CD, Applicant Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Familiarity with Spark and distributed computing