Software Engineer (Generalist)

Investure • Charlottesville, VA

8d • Hybrid

About The Position

Investure is seeking a Software Engineer to join its Technology team and build and support internal software tools used primarily in investment, accounting, reporting, and data analysis workflows. The role involves developing user-focused solutions for business process automation and AI-driven enhancements, collaborating with senior engineering leadership and colleagues across the firm, and delivering scalable solutions tailored to the firm’s needs.

The engineer will work directly with investment, accounting, and operations users to understand their workflows, translate needs into requirements, validate delivered tools, and iterate based on user feedback. The position also includes maintaining and improving applications, data pipelines, integrations, and reporting processes. The successful candidate will use sound engineering judgment, including when using AI-assisted coding tools, and contribute to design discussions, reviews, testing, documentation, and ongoing system support. Responsibilities and title will be commensurate with experience and demonstrated faculties and judgment.

Investure is an outsourced investment office serving nonprofit endowments and private foundations. The firm manages approximately $22 billion in assets as of January 2026 and describes its culture as fast-paced, collaborative, mission-driven, and focused on continuous improvement, excellence, integrity, and employee engagement. This is a full-time, in-office position with a remote option on Fridays, based in Charlottesville, Virginia. Investure will not sponsor H-1B or other employment-related visas for this position.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
• At least 2–3 years of professional software engineering experience.
• Experience designing and maintaining production relational data models, including writing and tuning SQL against sizable data sets and preserving data integrity as requirements change.
• Experience building or supporting systems handling time-series and financial data where historical accuracy, effective dating, and reporting consistency are hard requirements.
• Demonstrated ability to apply object-oriented design to systems that remain maintainable and extensible as they grow.
• Strong problem-solving skills and attention to detail, with the ability to learn complex financial and operational workflows quickly.
• Experience working directly with non-technical users to scope, build, and refine tools that users adopt, supported by clear verbal and written communication.
• Day-to-day use of AI-assisted coding tools such as Codex, Claude, or similar assistants, with sound judgment about when they are useful.
• Experience owning work end to end on a small engineering team, from requirements through deployment and ongoing support, with an understanding of the technology and business context.
• Ability to deliver on tight timelines while producing systems that are maintainable, secure, tested, and operationally durable.
• Demonstrated ethics and credibility, strong work ethic, collaboration, humility, maturity, and respect for others.

Nice To Haves

• Experience with C#.
• Experience with Python.
• Experience with React.

Responsibilities

• Design, build, test, and maintain software applications supporting investment, accounting, reporting, and data analysis workflows.
• Model, query, analyze, and transform financial and time-series data using relational databases.
• Partner with investment, accounting, and operations colleagues to understand workflows, translate needs into requirements, and confirm that delivered software works for users.
• Gather user feedback after delivery and iterate on applications and tools.
• 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 while maintaining engineering judgment, security awareness, and code quality.
• Participate in code reviews, technical design discussions, testing, documentation, and ongoing system support.
• Own engineering work end to end, from requirements through deployment and ongoing support.

Benefits

• Discretionary merit-based performance bonus eligibility for full-time positions.
• Discretionary portfolio bonus based on firm performance eligibility for full-time positions.
• Employer 401k contribution.
• Group health insurance.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level