Software Engineer
US$145,000 – US$180,000 / yr base salary
Posted 18 Jun 2026
Advertised as “Senior Software Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 7+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
| Base salary | US$145,000 – US$180,000 / yr |
|---|
Field of studyBusiness, Computer Science (or related)
Study levelBachelor's
SUMMARY
The Senior Software Engineer will join the Technology team in a dynamic and growing alternative investments firm with a strong technology focus. This role is for a hands-on engineer who combines deep technical expertise with a strong product mindset to deliver scalable, secure, and intuitive software solutions.
The ideal candidate will help shape and build capabilities that improve business workflows, operational efficiency, and user experience across the team's platform. They should be comfortable translating business needs into well-architected technical solutions, partnering closely with product and business stakeholders, and contributing to the long-term evolution of the team's systems and engineering practices.
This role is well-suited for an engineer who enjoys owning important capabilities end to end, engaging directly with business stakeholders to understand their workflows and pain points, mentoring others, experimenting with modern tools and approaches including AI-assisted development, and balancing speed, quality, and business impact in a collaborative environment.
As an onsite/hybrid employee, you are expected to be in the office on Tuesdays, Wednesdays, and Thursdays.
RESPONSIBILITIES
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Design, develop, and own key platform capabilities end to end — with accountability for architecture, performance, and supportability — to enable and further automate investment decision making, reporting, and analysis.
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Build product features with a platform-first mindset — designing for reusability, scalability, and long-term maintainability so that today's solutions become building blocks for tomorrow's capabilities.
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Leverage AI-assisted development as a core part of your engineering workflow — accelerating design exploration, code generation, testing, documentation, and problem-solving while maintaining appropriate validation and engineering rigor.
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Collaborate with product managers and business stakeholders to define requirements, scope, and priorities — and define success criteria for features before development begins so outcomes can be tracked and iterated on post-delivery.
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Champion data-driven feedback loops using observability, analytics, and user signals to validate that shipped capabilities are delivering expected value.
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Drive experimentation and innovation within the team — prototyping new approaches, evaluating emerging technologies, and championing ideas that improve how the team builds and delivers software.
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Provide technical leadership through design reviews, code reviews, mentoring, and architecture coaching to strengthen engineering quality and team effectiveness.