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 Senior Lead Software Engineer at JPMorgan Chase within the Infrastructure Data Platforms (IDP) Product Line , you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading data and AI technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

 

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendorsDevelops secure and high-quality production code, and reviews and debugs code written by othersDrives decisions that influence the product design, application functionality, and technical operations and processesServes as a function-wide subject matter expert in one or more areas of focusActively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software  Development Life CycleInfluences peers and project decision-makers to consider the use and application of leading-edge technologiesAdds to the 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 experienceHands-on practical experience delivering system design, application development, testing, and operational stability using Git, Bitbucket, Bash, Jenkins, Jules, Agile Methodologies, CI/CD, TDD, BDDAdvanced in one or more programming language(s) Python, Java, JavaScript (React, Node.js), C/C++, Go, C#Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in AI, deep learning and Data Science, NumPy, Scikit-Learn, Pandas, OpenCV. TensorFlow, PyTorch, KERAS, SciKit. Large Language, Large Quantitative Model, Liquid Neural NetworksAbility to tackle design and functionality problems independently with little to no oversightPractical cloud native experience Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skillsPractical cloud native experience using AWS, GCP, Azure, Docker, Kubernetes, TerraformFamiliarity with modern and emerging AI technologies