Software Engineer II - Python and ML Ops

Software Engineer II-Python/ ML Ops

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorgan Chase within the Commercial & Investment Bank Payments Technology team, you will be part of an agile team dedicated to enhancing, designing, and delivering software components for the firm's cutting-edge technology products in a secure, stable, and scalable manner. In your role as an emerging member of the software engineering team, you will execute software solutions by designing, developing, and troubleshooting various components within a technical product, application, or system, while acquiring the skills and experience necessary for growth in your position.

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, opportunity, 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
• Experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems
• Experience in Python, Cloud Native Technologies (Docker, Kubernetes, etc.)
• Experience with one or more public clouds AWS, GKP
• Experience in partnering with product and program management teams
• Experience in building scalable systems based on web services
• Expertise in application, data, and infrastructure architecture disciplines
• Experience with modern microservices architecture
• Experience with Cassandra or equivalent no-SQL databases
• Ability to lead the design of large-scale systems and to reason about the challenges and tradeoffs

 

 

Preferred qualifications, capabilities, and skills

 

• MS/PhD degree in Computer Science, or closely related field
• Strong proficiency with Java, Python, Scala or C++
• Proven track record of hiring and building high-performance teams and managing cross-functional projects
• Expertise in application, data, and infrastructure architecture disciplines
• Experience with modern microservices architecture

 

Experience Level

Mid Level