Software Engineer II Python/Spark/GenAI/Scala

 We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
 

As a Software Engineer  at JPMorgan Chase within the Consumer and Community Bank Risk Technology, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
 

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
• 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

   

Required qualifications, capabilities, and skills
 

• Formal training or certification on software engineering concepts and 2+ applied experience  at code level in Python,Full Stack , Spark, Scala or Bigdata concepts. 
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Strong technical advocate with a background in Python, Scala, associated frameworks (ideally Spark), Kafka , Spring boot, Spring-data and Rest API programming
• Advanced in one or more programming language(s)
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
•  In-depth knowledge of the financial services industry and their IT systems
• Experience in the public cloud (AWS), and AWS Certification
•  Must have experience in building agentic or AI applications to automate lot of operationals workloads.
   

Preferred qualifications, capabilities, and skills
 

• Experience working at code level
• Experience with ETL/ Data Bricks/AI is preferred