About this role
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
If you are looking for a game-changing career, working for one of the world's leading financial institutions, you’ve come to the right place. As a Sr. Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank Compute Runtime Platforms, you will play a crucial role in providing expertise and engineering excellence as part of an agile team. Your responsibilities include enhancing, building, and delivering trusted market-leading technology products in a secure, stable, and scalable manner. You will leverage your advanced technical skills and collaborate with colleagues across the organization to achieve best-in-class outcomes across various technologies, supporting one or more of the firm’s portfolios. Job Responsibilities:
• Design, implement, and optimize distributed computing solutions in HPC, K8s and Cloud environments. • Leverage Generative AI and AI tooling to enhance the monitoring, management, and optimization of large compute environments. • Collaborate with cross-functional teams to improve system performance and efficiency. • Develop and maintain software solutions using Python, C++; and Go. • Deploy and manage applications using Kubernetes (K8s) and HPC/Grid Computing/Big Data technologies such as Slurm, LSF, Spark, Ray and Symphony in cloud environments. Required Qualifications, Capabilities, And Skills
• Formal training or certification on Software Engineering concepts and 5+ years applied experience. • Expertise in C++, Python, Kubernetes (K8s), and HPC/Grid Computing technologies (Slurm, LSF, Symphony), GenAI, agent framework and tools, observability tooling such as OTel • Proven experience with cloud technologies and environments • Strong problem-solving skills and the ability to work collaboratively in a team setting. • Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred Qualifications, Skills, and Capabilities:
• AWS hands-on experiences is a plus.