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 Consumer & Community Banking, 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. Promote 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
- Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture.
- Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions.
- Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies.
- Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics.
- Promote 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 experience
- Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments.
- 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 technologies.
- Experience in cloud platforms such as AWS, GCP, or Azure.
- Knowledgeable in machine learning frameworks, ML Ops tools and practices.
- Strong 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).
- Hands-on experience with big data, pipeline, orchestration tools and real-time processing frameworks.
- Exceptional ability to communicate complex technical concepts to both technical and non-technical audiences.
Preferred qualifications, capabilities, and skills
- Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field.
Top Skills
What the Team is Saying
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.
Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.
Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.
©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
