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About the Role

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.

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

Requirements

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
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

Skills

C#/.NET
Entity Framework
SQL Server
Microsoft Azure
Git
CI/CD
Automated testing
Azure DevOps
Software design patterns
Python
AI integration
Data automation
LLM capabilities
AI coding assistants

Location

Dallas

Work Type

Onsite

Experience Level

3-5 years

Education Level

Bachelor's degree in Computer Science, Software Engineering, or related field

Benefits

Comprehensive onboarding and training programs
Structured Private Asset Training Program
Regular business/industry teach-ins
Early opportunities for advancement
Opportunity to build valuable professional skills
Exposure to a wide range of strategies
Collaborative, high-performing team culture
Company-sponsored 401(k) plan
Healthcare
Dental insurance
Competitive compensation
Fully paid parental leave
Generous paid time off that increases with tenure
Annual volunteer day
Casual dress code
Frequent team events
Downtown Dallas office with paid parking, free snacks, and other perks

About the Company

LP Analyst is a leading independent private asset cloud-based analytics and consulting solutions firm that works closely with many of the industry’s most prominent institutional investors (LPs) and fund managers (GPs) to get better, more actionable decision-making intelligence into the hands of today’s demanding investors.
Our firm truly sits at the intersection of private asset analytics and consulting, which means we take both a highly quantitative and qualitative approach to tackling big challenges and developing cutting-edge solutions for our clients.
If you are a high achiever with a passion for learning about the private asset analytics and consulting landscape while also being part of a strong, motivated and innovative team of forward-thinking professionals, LP Analyst might be the right place for you.

Equal Opportunity

LP Analyst encourages and promotes diversity within its team. Women, minorities, people with disabilities, veterans and members of all underrepresented groups are strongly encouraged to apply.