Software Engineer

Investure•Charlottesville, VA

14d•Hybrid

About The Position

This professional will be a key member of Investure’s Technology team, working closely with senior engineering leadership and partnering with colleagues across the firm’s functional teams. This individual will be responsible for building and supporting internal software tools and systems used primarily across investment, accounting, reporting, and data analysis workflows. The role focuses on developing user-focused solutions that support business process automation and AI-driven enhancements to drive the firm’s mission forward. The professional will collaborate closely with a talented team, working together to deliver effective, scalable, and tailored solutions to meet the firm's unique needs. The ideal candidate is a skilled and motivated software engineer with a passion for developing innovative, user-focused tools and solutions, along with an interest in the investment industry. This individual will have strong software engineering fundamentals, experience with relational databases and object-oriented design, and a demonstrated ability to work with financial, portfolio management, and/or accounting systems. This individual will demonstrate a strong work ethic and is driven by the desire to work collaboratively to solve challenging technical problems and create value for the firm. This person should be a hands-on engineer who earns credibility through sound judgment and execution and is adept at using modern AI-assisted coding tools to improve productivity, code quality, and delivery speed. Cultural alignment, humility, and maturity are imperative.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
At least 3 years of professional experience building production software for asset management, portfolio management, investment operations, accounting systems, or a closely related financial domain.
Has designed and maintained relational data models in production, including writing and tuning SQL against sizable data sets and preserving data integrity as requirements changed.
Built or supported systems handling time-series and financial data where historical accuracy, effective dating, and reporting consistency were hard requirements.
Track record of applying object-oriented design to systems that stayed maintainable and extensible as they grew.
Strong problem-solving skills and attention to detail, with a demonstrated ability to learn complex financial and operational workflows quickly.
Has worked directly with non-technical users to scope, build, and refine tools those users went on to adopt, with clear verbal and written communication throughout.
Day-to-day use of AI-assisted coding tools such as Codex, Claude, or similar assistants, with sound judgment about where they help and where they do not.
Has owned work end to end on a small engineering team, from requirements through deployment and ongoing support, with an understanding of both the technology and the business context.
Demonstrated ability to deliver on tight timelines while also producing systems that are maintainable, secure, tested, and operationally durable.

Nice To Haves

Experience with C#, Python, and React preferred.

Responsibilities

Design, build, test, and maintain software applications that support investment, accounting, reporting, and data analysis workflows.
Work with relational databases to model, query, analyze, and transform financial and time-series data.
Partner directly with investment, accounting, and operations colleagues who use internally built software applications to learn their workflows, translate their needs into requirements, and confirm that what gets built works for them.
Gather user feedback after delivery and iterate on it, explaining technical tradeoffs and constraints in terms non-technical partners can act on.
Apply object-oriented design principles to create maintainable, extensible, and reliable systems.
Troubleshoot and improve existing applications, data pipelines, integrations, and reporting processes.
Use AI-assisted coding tools such as Codex, Claude, or similar platforms to accelerate development while maintaining strong engineering judgment, security awareness, and code quality.
Participate in code reviews, technical design discussions, testing, documentation, and ongoing system support.