London VP, Software Engineering — Lead Global Platforms

Candidate Experience Site - Lateral; City Of London; On-site; GBP 180,000 - 280,000; Full time

Job summary

Goldman Sachs in London seeks a Vice President of Software Engineering to lead end-to-end systems development within The Core Engineering. You will shape architectures, drive delivery in Agile squads, and partner with Finance, Risk and Compliance to translate complex requirements into scalable data platforms and applications.

The role requires hands-on coding in Java or Python, strong system design skills, experience with cloud technologies (AWS) and distributed microservices, plus excellent

Qualifications

• Bachelor’s degree or relevant experience in Computer Science, Mathematics, Electrical Engineering or related discipline.
• 6+ years of software development experience.
• Strong analysis and design skills, plus knowledge of data structures, algorithms and performance-oriented design.
• Strong communication skills with both technical and business audiences, and comfortable working with multiple global stakeholders.

Responsibilities

• Manage end-to-end systems development in an Agile environment, from requirements analysis through coding, testing, UAT, implementation and maintenance.
• Produce technical designs, testing strategies and implementation plans.
• Partner with Finance stakeholders to understand business needs and translate them into process workflows, data requirements and specifications.
• Build reusable solutions and identify opportunities for cross-divisional collaboration.
• Contribute to data modelling and curation.

Skills

Java

Python

System design

Analytical skills

Communication skills

Education

Bachelor's degree in CS/Math/EE

Tools

AWS

S3

SQS

Lambda

Fargate

RDBMS

Kafka

Spark

Job description

Goldman Sachs in London seeks a Vice President of Software Engineering to lead end-to-end systems development within The Core Engineering. You will shape architectures, drive delivery in Agile squads, and partner with Finance, Risk and Compliance to translate complex requirements into scalable data platforms and applications.

The role requires hands-on coding in Java or Python, strong system design skills, experience with cloud technologies (AWS) and distributed microservices, plus excellent