Senior Lead Software Engineer (C++, Python) – HPC & Cloud

JPMorgan Chase & Co.; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

JPMorgan Chase & Co. in London seeks a Sr Lead Software Engineer to design, build, and optimize distributed computing solutions in HPC, K8s, and cloud environments.

You will lead efforts across Python, C++, and Go, leveraging GenAI to improve monitoring, management, and efficiency of large compute platforms. You will collaborate with cross-functional teams, deploy on Kubernetes, and work with Slurm, LSF, Spark, Ray, and Symphony in cloud environments to deliver scalable, secure technologies

Qualifications

• 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

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.

Skills

C++

Python

Kubernetes (K8s)

Go

GenAI

Cloud technologies

Observability (OTel)

Education

Software Engineering degree

Tools

Slurm

LSF

Spark

Ray

Symphony

Job description

JPMorgan Chase & Co. in London seeks a Sr Lead Software Engineer to design, build, and optimize distributed computing solutions in HPC, K8s, and cloud environments.

You will lead efforts across Python, C++, and Go, leveraging GenAI to improve monitoring, management, and efficiency of large compute platforms. You will collaborate with cross-functional teams, deploy on Kubernetes, and work with Slurm, LSF, Spark, Ray, and Symphony in cloud environments to deliver scalable, secure technologies