JPMorgan Python Full Stack Software Engineer II 

United Kingdom, Scotland 

633305763

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 relevant applied experience.
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Demonstrable ability to code in one or more languages such as Python
• Demonstrated ability to code in Spark/Scala/Python.
• In-depth knowledge of Big Data ecosystem technologies viz, Hadoop, Hive, Impala, etc.
• Experience across the whole Software Development Life Cycle.
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
• Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Exposure to public cloud platforms like AWS, etc.
• Hands-on experience on developing cloud native implementations.
• Experience working with huge datasets that are often too large and complex for traditional data processing applications.
• Adapt to changing project requirements and technologies.