Senior Engineering Leader, Finance Tech & AI

Next Frontier Capital

Wilmington (DE)

On-site

USD 170,000 - 230,000

Full time

14 days+
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Benefits offered by this job

Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching and more

Job summary

JPMorganChase is seeking a Senior Manager of Software Engineering to lead multiple engineering teams and shape platforms for internal funding and NII. You will drive AI-enabled engineering, SDLC automation, and cross-functional collaboration across Finance, Risk, Treasury, and Infrastructure.

The role emphasizes secure, scalable solutions and strong mentorship. The position focuses on cloud-native modernization, data-first strategies, and engineering best practices with Databricks, Spark, Java,

Qualifications

  • Formal training or certification on software engineering concepts with 5+ years of applied experience.
  • 2+ years of experience leading technologists to manage and solve complex technical items.

Responsibilities

  • Provide direction, oversight, and coaching to multiple software engineering teams delivering finance-related solutions.
  • Oversee budget, resources, and pipelines across multiple teams and services.
  • Establish and scale AI-assisted engineering practices and SDLC automation with measurable outcomes.

Skills

Leadership
AI-enabled engineering
Cloud AWS
Python
Java
Databricks/Spark
Finance domain knowledge
SDLC automation

Education

CS/Engineering/Math degree

Tools

Databricks
Spark
API design

Job description

JPMorganChase is seeking a Senior Manager of Software Engineering to lead multiple engineering teams and shape platforms for internal funding and NII. You will drive AI-enabled engineering, SDLC automation, and cross-functional collaboration across Finance, Risk, Treasury, and Infrastructure.

The role emphasizes secure, scalable solutions and strong mentorship. The position focuses on cloud-native modernization, data-first strategies, and engineering best practices with Databricks, Spark, Java,

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