3-5 years of hands-on software engineering experience
Strong analytical and problem-solving skills
Proficient in C#/.NET and SQL Server
Experience with Microsoft Azure for application deployment
Familiarity with CI/CD practices and Azure DevOps
Knowledge of software design patterns and principles
Bachelor's degree in Computer Science or related field required
Responsibilities
Design and build features for client-facing and internal applications
Write clean, maintainable code following team standards
Utilize AI-assisted development tools in daily tasks
Collaborate with stakeholders to clarify requirements and design solutions
Plan work by breaking features into tasks and estimating effort
Participate in code reviews and mentor junior developers
Contribute to CI/CD pipelines and troubleshoot complex issues
Build and prototype AI products and features
Benefits
Comprehensive onboarding and training programs
Early advancement opportunities for top performers
Skill development in communication, organization, and leadership
Exposure to diverse investment strategies
Collaborative team culture with supportive colleagues
Company-sponsored 401(k) plan and healthcare benefits
Competitive compensation and paid parental leave
Generous paid time off and annual volunteer day
Casual dress code and office perks like free snacks
Full Job Description
Job Summary
LP Analyst is seeking a talented and motivated Software Engineer to join our growing technology team. This role spans application development, cloud integration, and AI product development. You will build features across our internal and client-facing applications and own the integrations that connect them to cloud services and data sources. You will take your work from design through to production, working alongside our engineering team and business stakeholders. You will also help build our AI products, including LLM-powered tools, agents, and workflows, and use AI-assisted development tools as part of how you work.
This position is ideal for a strong problem solver who is passionate about writing clean, scalable code, eager to keep growing their technical skills, and excited to work in a fast-paced, collaborative environment.
Key Responsibilities
Design and build features across our client-facing analytics platform and internal applications using C#/.NET, Entity Framework, and SQL Server, owning delivery from design through production and working with the technical lead on architecture decisions
Write clean, well-documented, and maintainable code in accordance with team standards and best practices
Use AI-assisted development tools effectively in your day-to-day work, while owning the quality, security, and correctness of the code you ship
Work with business stakeholders to clarify requirements, think through edge cases and alternatives, and turn them into technical designs and working solutions
Plan your work before you build: break features down into tasks, estimate effort, identify risks and dependencies early, and keep the team informed on progress in Azure DevOps
Participate in code reviews and guide junior developers on patterns and team standards, while giving and receiving constructive feedback
Contribute to and maintain CI/CD pipelines in Azure DevOps, supporting releases and validating changes across environments after deployment
Own the integrations connecting our applications to cloud services and data sources on Microsoft Azure
Troubleshoot complex issues across application code, cloud integrations, and data movement, working methodically to find root causes and escalating architectural concerns to the technical lead
Build AI products and AI-powered features, including LLM-based tools, agents, and workflows, taking them from prototype through production
Stay current with emerging technologies and best practices, bringing practical recommendations to the team
Participate across the full software development life cycle (SDLC), including design discussions, implementation, testing, deployment, and ongoing maintenance and optimization
Qualifications and Skills
3-5 years of professional, hands-on experience in software engineering
Strong analytical and problem-solving skills, with a track record of working through complex or ambiguous problems to practical solutions
Experience designing scalable, maintainable systems, including planning the technical approach, weighing trade-offs, and thinking ahead to how a solution will need to grow
Strong hands-on experience with C#/.NET and SQL Server
Experience building and deploying applications and integrations on Microsoft Azure
Solid understanding of relational databases and SQL; exposure to non-relational databases is a plus
Comfort with Git-based workflows, version control, and collaborative development practices
Solid understanding of CI/CD practices and automated testing; experience with Azure DevOps is a plus
Knowledge of common software design patterns and principles
Familiarity with Entity Framework and other common .NET data access frameworks
Experience with Python or other languages for AI integration or data automation is a plus
Hands-on experience building AI products or integrating LLM capabilities into applications is preferred
Regular use of AI coding assistants, with the judgment to review, test, and validate AI-generated code
Good communication skills, with the ability to collaborate effectively with both technical and non-technical teammates
Experience reviewing code or guiding junior developers is a plus
Bachelor's degree in Computer Science, Software Engineering, or related field required
Experience in financial services, asset management, or analytics platforms is a plus
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa for this position
Why LP Analyst?
Comprehensive onboarding and training programs, including a structured Private Asset Training Program and regular business/industry teach-ins
Early opportunities for advancement for top-performing analysts
Opportunity to build valuable professional skills early in your career, including communication, organization, and leadership, by working on a dynamic and growing team with cross-functional exposure
Exposure to a wide range of strategies (private equity, venture capital, real estate, infrastructure, credit), with the opportunity to specialize in areas of interest
High-impact role providing transparency to the world's leading institutional investors
Collaborative, high-performing team culture with smart, supportive colleagues
Company-sponsored 401(k) plan, healthcare, and dental insurance
Competitive compensation and fully paid parental leave
Generous paid time off that increases with tenure, plus an annual volunteer day
Casual dress code, frequent team events, and a downtown Dallas office with paid parking, free snacks, and other perks
