Software Consultant
Role details
Job location
Tech stack
Job description
Leading Hedge Fund Client Tech Engineering team is seeking two seasoned Senior Software Consultants to drive the modernization and re-platforming of critical client operations systems. You will work shoulder to shoulder with other internal engineering leaders, taking full ownership of complex, enterprise-scale problems across the entire software development lifecycle from architecture through production deployment.
This is a high-impact, hands-on role for engineers who pair strong technical judgment with an ownership mindset.
AI-Native Development Environment
Client s engineering culture embraces AI-accelerated development. Candidates are expected to leverage tools such as Claude Code and GitHub Copilot/Codex to move quickly without sacrificing architectural rigor, test coverage, or code quality. The ideal engineer uses AI as a force multiplier, not a shortcut.
What this means in practice:
- Rapid prototyping and boilerplate generation via Claude Code / Codex then rigorous review and refactoring
- AI-assisted test generation paired with human-driven test strategy
- Using LLM tooling for documentation, code review drafts, and PR summaries
- Maintaining full accountability for all AI-generated code you own every line that ships
Requirements
- Expert-level C# with strong software engineering discipline and clean code practices
- Expert-level SQL complex query design, performance tuning, schema management
- Expert-level Angular enterprise SPA architecture, component design, state management
- Strong hands-on experience with RabbitMQ or equivalent message broker technologies
- Strong hands-on experience with Elasticsearch or equivalent full-text/distributed search platforms
Preferred / Nice-to-Have
- Experience building integrations with Salesforce (CRM/API layer)
- Familiarity with New Relic for application performance monitoring (APM)
- Familiarity with Sumo Logic for log management and analytics
- Prior experience in financial services, asset management, or capital markets environments
AI & Velocity
- Demonstrated ability to develop rapidly using Claude Code, GitHub Copilot, or Codex
- Proven track record of maintaining production-quality standards while leveraging AI tooling
Engineering Standards & Soft Skills
- Strong experience with scalable system design and enterprise-grade engineering standards
- Deep understanding of SDLC, testing strategies, code quality, and long-term maintainability
- Strong analytical, coding, and debugging skills with a detail-oriented, ownership-driven mindset
- Ability to work independently and collaborate effectively within a cross-functional team
- Strong written and verbal communication skills comfortable engaging with engineering leads and business stakeholders