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Salary
≈ $115k – $234k per year (Estimated)
Location
In office (London)
Seniority
Staff · 5+ years exp

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Sep 17, 2026. JPMorganChase scores A on the Alion truth index.

Overview
Company
Impact
Profile match
JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.

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.
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