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

As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

 

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Oversee the analysis of complex datasets to inform decisions on real-world applications. Lead the development and implementation of models and algorithms to enhance existing systems, processes, and products.  Supervise data analysis activities and ensure effective visualizations are provided. Ensure the writing and deployment of software code in production systems is efficient and meets standards. Anticipate risks associated with machine learning solutions and prediction/classification systems and strategize mitigation.  Communicate complex issues clearly and credibly to senior management and stakeholders.  Foster a transparent cross-functional work environment and influence peers and team members to uphold these standards.

 

Required qualifications, capabilities, and skills

 

Formal training or certification on software engineering concepts and 3+ years applied experience Master's degree in computer Science, Machine Learning or related field  with 3 years of relevant experience Ph.D in computer Science, Machine Learning, or a related field with 1 year of experience.  Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Expertise in one or more of the following areas: machine learning, Graph learning, recommendation systems, network analysis, natural language processing, Reinforcement learning, MLOps. Solid understanding of core CS concepts, including common data structures and algorithms.

 

Preferred qualifications, capabilities, and skills

 

Experienced in conducting design and code reviews. Proficient in cloud environments such as AWS, GCP, or Azure. Experienced in managing and deriving insights from large, both unstructured and structured datasets.