at J.P. Morgan
Bulge Bracket Investment BanksPosted 12 days ago
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**Senior Lead Software Engineer (C++, Python) - JPMorgan Chase, London** - Drive market-leading technology, enhancing/trusting compute platforms - Build/optimize distributed solutions in HPC, Kubernetes, and Cloud - Leverage Generative AI, enhance monitoring, management, and compute optimization - Collaborate cross-functionally, improve system performance - Develop/maintain software in Python, C++, deploy with Kubernetes, HPC/Grid (Slurm, LSF) and Big Data tech - Expertise in Software Engineering, C++, Python, Kubernetes, HPC, Generative AI, AWS certified - Proven experience (5+ years), strong collaborator, computer science/engineering background
- Compensation
- Not specified
- City
- London
- Country
- United Kingdom
Currency: Not specified
Full Job Description
Location: LONDON, LONDON, United Kingdom
If you are looking for a game-changing career, working for one of the world's leading financial institutions, youve 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 firms 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.
