JPMorgan Python Lead Software Engineer 

United States, Delaware, Wilmington 

764153380

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 applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) including Python and AWS
• Proficient use of AWS (Amazon Web Services) with experience with different type of database technologies and ability to explain architectural specs, from a technical perspective.Working knowledge of creating AWS pipelines for ingestion, dataset creation, data transformation and model training.
• Advanced knowledge of Statistics, Data Science and Machine Learning techniques. (supervised and unsupervised)
• Expertise using Scikit Learn, Pandas, TensorFlow, Keras, Spark, and NLTK for data mining and machine learning
• Ability to develop models for malware detection and malware family classification (Tensorflow/Keras, Sagemaker, AWS).
• 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.)

• Python, R, Java, C, C++, SQL, SDLC process and tools (GIT, Jenkins, Artifactory etc )