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 JPMorganChase within the Consumer & Community Banking Machine Learning, 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. 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 technologiesDrive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architectureAct as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutionsArchitect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologiesEnsure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analyticsPromote software and model quality, integrity, and security across the organization
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experienceProven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments 10 plus years of hands-on experience and expertise in software development frameworks and tools such as Java, Python and JavaScript Deep understanding of distributed systems, cloud-native architectures, and modern machine learning technologiesExperience in cloud platforms such as AWS, GCP, or AzureKnowledgeable in machine learning frameworks, ML Ops tools and practicesStrong proficiency in engineering programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation)Proficient in building AI Agents (e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and RAG based solutions (e.g., open search)Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins, GitLab CI/CD)Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences
Hands-on experience with big data, pipeline, orchestration tools and real-time processing frameworks
Preferred qualifications, capabilities, and skills Experience working at the code level, with a strong understanding of software development practicesCertified as AWS Solutions Architect, Certified Developer, or similar certification