Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector - Data Lake & Analytics team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Our vision is to continuously evolve using best-in-class tools and technologies in managing vast amounts of data to enable AI/ML initiatives throughout the firm and enhance our ability to provide market leading capabilities.

The Data Management group sits within the AI/ML & Data Platforms as part of Global Technology and operates firmwide, liaising with different lines of business to deliver innovative data management products, services and value add solutions. Our philosophy is to function in a product operating model so as to iteratively discover, design, develop and deliver great outcomes to our customers quickly and securely.

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. Contributes to software engineering communities of practice and events that explore new and emerging technologies. Adds to team culture of diversity, equity, inclusion, and respect. Works with public cloud services with focus on data and ML engineer persona’s.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience Solid experience in the following: Cloud Services such as AWS or Azure; Java and Python; Maven; UNIX; Microservices; GIT; REST web services; Software Development; SQL; Databases; Messaging and Events; Caching; Spark; Big Data storage, processing, and consumption. 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. Overall knowledge of the Software Development Life Cycle (SDLC) 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, etc.)