Software Engineer

WisdomTree in Europe

. Own and evolve the CUBE platform, including its architecture, codebase, developer experience, reliability and ongoing operation .

Posted 10/28/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong software engineering fundamentals with extensive experience in Python and modern web development, particularly in building applications that integrate AI technologies and financial data. Capable of simplifying complex systems while maintaining high standards of code quality and operational efficiency.

Highest-signal resume keywords

Python Application DevelopmentModern Web Development (React, TypeScript, JavaScript)AI Coding Agents and CopilotsAPIs and Containerization (Docker)Cloud Application Development and CI/CD

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonReactTypeScriptJavaScriptAPIsDockerSQLLLMsCI/CDCloud Infrastructure

Soft Skills

Strong Communication SkillsAbility to Work IndependentlyCuriosity and Quick Learning

Tools & Technologies

DatabricksAzure App ServicesDocker ComposeDevelopment ContainersCloud Data Platforms

Certifications & Qualifications

Bachelor's or Master's Degree in Computer Science, Mathematics, Engineering, Physics, Statistics, Finance or Related Discipline

Industry Keywords

Quantitative FinanceInvestment ResearchPortfolio AnalyticsFinancial MarketsETFs

Tech Stack

Tools & technologies

AzureCloudDockerJavaScriptPythonReactSparkSQLTypeScript

About the role

Key responsibilities & impact

Own and evolve the CUBE platform, including its architecture, codebase, developer experience, reliability and ongoing operation
Work directly with portfolio managers and senior investment professionals to turn ideas into useful applications
Use modern AI coding tools and agents to prototype, build, debug and refactor software
Integrate CUBE with the wider WisdomTree platform
Apply engineering judgment to AI-generated and rapidly prototyped applications
Simplify CUBE's development environment and container architecture
Improve development and deployment workflows, including containers, CI/CD, environment management, logging, monitoring, authentication and configuration
Build full-stack research applications using Python and modern web technologies
Develop applications combining LLMs with structured financial data, market data, proprietary research, documents and internal knowledge
Build agentic workflows, research assistants, analytical tools, dashboards and workflow automations
Integrate applications with Databricks, databases, APIs, identity systems and cloud infrastructure
Debug across application code, containers, APIs, authentication, networking and cloud infrastructure
Establish sensible engineering standards without slowing experimentation
Document architectural decisions, dependencies and operational procedures

Requirements

What you’ll need

Strong software engineering fundamentals and substantial hands-on development experience
Strong Python skills and experience building real applications rather than only notebooks or analytical scripts
Experience with modern web development; React, TypeScript or JavaScript experience strongly preferred
Significant experience using AI coding agents and copilots as part of a normal development workflow
Experience building applications using LLMs, agents, tool calling, retrieval or related AI application patterns
Strong practical knowledge of APIs, Git, containers and Docker
Experience with cloud-hosted applications and CI/CD; Azure experience useful but not essential
Working understanding of authentication, application security, secrets, networking, logging and observability
Ability to read and improve unfamiliar or imperfect codebases
Good architectural judgment and preference for simplifying systems
Ability to work independently with ambiguous requirements and a bias toward shipping useful software
Strong communication skills and ability to work directly with investment professionals
Interest in financial markets and investing; curiosity and ability to learn quickly
Bachelor's or master's degree in Computer Science, Mathematics, Engineering, Physics, Statistics, Finance or another quantitative discipline is desired, not required
Databricks, Spark or modern cloud data platforms
SQL and large financial or analytical datasets
Docker Compose, development containers or complex local development environments
Azure App Services or similar managed application platforms
LLM evaluation, retrieval-augmented generation and agent frameworks
Internal developer platforms or self-service application environments
Quantitative finance, investment research, portfolio analytics, ETFs or financial markets
Experience maturing experimental or founder-built codebases

Benefits

Comp & perks

Work Smart philosophy with employee time in the office generally not prescribed
Team leaders empowered to determine how teams work best, including in-person and in-office engagement as appropriate
Collaborative and empowering work environment