Sr Lead Software Engineer - C++, Python,

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

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.