VP, AI-Driven Cloud Software Engineering

Goldman Sachs

Dallas (TX)

On-site

USD 150,000 - 200,000

Full time

14 days+

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Benefits offered by this job

Professional development opportunities
Autonomy in project development
Exposure to cutting-edge technologies

Job summary

A leading global financial firm in Dallas seeks a Vice President for its Controllers Engineering team. This role involves designing scalable cloud-native architectures and overseeing the development of critical financial software. Candidates should have extensive experience in software development, particularly in Java or Python, and possess strong problem-solving abilities. Successful applicants will lead agile teams and work closely with diverse business units to ensure compliance and efficiency in financial reporting and risk management.

Qualifications

  • 8+ years of hands-on software development experience, preferably in Java or Python.
  • Experience with traditional and modern datastores such as Snowflake, Dynamo DB, Mongo DB.
  • Strong programming and problem-solving skills.

Responsibilities

  • Design and implement scalable, cloud-native architectures on AWS and Snowflake.
  • Manage end-to-end systems development in an Agile environment.
  • Build and maintain key financial metric calculation models.

Skills

Java
Python
Cloud architecture
AI integration
Problem-solving
Communication

Education

Bachelor’s or Master’s degree in Computer Science

Tools

AWS
Snowflake
Apache Spark
Alloy/Legend
IntelliJ

Job description

A leading global financial firm in Dallas seeks a Vice President for its Controllers Engineering team. This role involves designing scalable cloud-native architectures and overseeing the development of critical financial software. Candidates should have extensive experience in software development, particularly in Java or Python, and possess strong problem-solving abilities. Successful applicants will lead agile teams and work closely with diverse business units to ensure compliance and efficiency in financial reporting and risk management.
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