Libra Solutions

- Maximize positive customer outcomes while delivering identified customer experience and financial performance targets. - Ability to promote and achieve high rates of customer/partner experience, enabling customers and partners to realize significant value from their engagements and improving performance in the market. - Ensure delivery of targeted performance metrics and SLAs.

• Manage, mentor, and develop a team of software engineers across all experience levels • Conduct regular 1:1s, provide timely and constructive feedback, and support each engineer’s professional growth and career development • Partner with recruiting to grow the team by attracting and hiring engineers aligned with the team’s AI-native technical direction • Set clear expectations, foster accountability, and build a culture of trust, collaboration, and continuous improvement • Address performance issues constructively and proactively • Own the team’s delivery commitments; ensure features, bug fixes, and technical investments are completed on time and meet quality standards • Participate in sprint planning, backlog refinement, and prioritization discussions with Product and stakeholders • Remove blockers, manage dependencies, and ensure the team has what it needs to execute effectively • Monitor and continuously improve team velocity, predictability, and delivery health within the agentic pod model • Maintain strong technical engagement: participate in architecture discussions, code reviews, and technical planning • Ensure the team adheres to engineering standards for C# / .NET, API design, database patterns, front-end development, and CI/CD using Azure DevOps • Identify and address technical debt; champion sustainable engineering practices • Drive adoption and effective use of AI-assisted development tools (GitHub Copilot, Claude, Azure OpenAI) across the team; ensure engineers are working in an agentic delivery rhythm where AI handles generation at scale and engineers own judgment, quality, and architectural decisions • Partner with other engineering leaders to define and uphold organizational AI development standards, prompt engineering practices, and AI output review requirements • Track and evaluate team-level engineering metrics, including sprint velocity and predictability, CI/CD pipeline health, production incidents, defect backlog trends, and system performance data to identify systemic issues and drive continuous improvement • Use data to communicate engineering health, technical decisions, tradeoffs, and statuses clearly to stakeholders and leadership • Contribute to engineering-wide initiatives including hiring practices, standards, tooling, and process improvement

• Design and implement full-stack features using C# / ASP.NET Core, Entity Framework Core, and SQL Server / Azure SQL for back-end services, and React or Angular for front-end applications • Write well-tested, maintainable code with unit and integration tests • Participate actively in code reviews, providing and incorporating constructive feedback • Contribute to Azure DevOps CI/CD pipelines and deployment workflows • Troubleshoot and resolve production issues in a timely manner • Use AI-assisted development tools (GitHub Copilot, Claude) with structured, context-rich prompts to accelerate coding, test coverage, and documentation • Critically evaluate all AI-generated output before committing — review for correctness, security risks, and alignment with team architecture and coding standards • Work within Libra’s agentic engineering model: AI agents handle code generation at scale; engineers own the judgment, quality bar, and architectural decisions on everything that ships • Collaborate with Product, QE, business stakeholders, and peers to deliver features that meet acceptance criteria and quality standards • Partner with offshore developers on the squad to scope tasks clearly, provide code review feedback, and maintain shared quality standards

• Design, implement, and maintain automated UI and end-to-end test suites using Playwright / TypeScript, covering critical user workflows across React and Angular front-end applications • Write automated API tests against C# / ASP.NET Core REST endpoints using TypeScript HTTP client libraries or C# / xUnit / NUnit test projects; validating request contracts, response schemas, business logic, and error handling • Build and maintain integration tests that validate service-to-service interactions and data flows across the application stack, including SQL Server / Azure SQL data validation • Contribute to test data strategy for the squad’s automated suites: design repeatable, isolated data setup and teardown that enables reliable parallel test execution • Use AI-assisted tools (GitHub Copilot, Claude) with structured prompts to accelerate test scaffolding and test generation across API, UI, and integration layers • Critically evaluate all AI-generated tests before committing — review for coverage completeness, assertion quality, and absence of false confidence • Work within Libra’s agentic engineering model: AI agents accelerate code generation at scale; QEs own the quality judgment that determines what ships • Contribute to Azure DevOps CI/CD pipelines, ensuring automated suites run as mandatory quality gates on every build with actionable pass/fail signal • Identify, document, and track bugs/defects in Jira with clear reproduction steps and test evidence; partner with engineers to drive timely resolution • Participate in sprint ceremonies and contribute to test planning, risk assessment, and acceptance criteria definition alongside the Technical Product Owner • Partner with offshore QE engineers on the squad to scope test cases clearly, provide review feedback, and maintain shared quality standards

Role Description The Software Engineer, AI-Native is a core contributor on the software engineering team, responsible for designing, building, and maintaining features across Libra Solutions’ platforms. This role requires practical full-stack / full-lifecycle experience, a solid understanding of modern software engineering practices, and the ability to work effectively within an agentic delivery model where AI agents participate directly in the SDLC alongside human engineers. This position reports to the Manager, Software Engineering and can be based in any of our office locations in Denver, CO, Huntersville, NC, Rosemont, IL, or Las Vegas, NV. We welcome strong remote candidates, with occasional travel to Las Vegas as needed. Position Responsibilities: - Design and implement full-stack features using C# / ASP.NET Core, Entity Framework Core, and SQL Server / Azure SQL for back-end services, and React or Angular for front-end applications - Write well-tested, maintainable code with unit and integration tests - Participate actively in code reviews, providing and incorporating constructive feedback - Contribute to Azure DevOps CI/CD pipelines and deployment workflows - Troubleshoot and resolve production issues in a timely manner - Use AI-assisted development tools (GitHub Copilot, Claude) with structured, context-rich prompts to accelerate coding, test coverage, and documentation - Critically evaluate all AI-generated output before committing — review for correctness, security risks, and alignment with team architecture and coding standards - Work within Libra’s agentic engineering model: AI agents handle code generation at scale; engineers own the judgment, quality bar, and architectural decisions on everything that ships - Collaborate with Product, QE, business stakeholders, and peers to deliver features that meet acceptance criteria and quality standards - Partner with offshore developers on the squad to scope tasks clearly, provide code review feedback, and maintain shared quality standards Qualifications - Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent professional experience - 2+ years of professional software development experience - Proficiency in C# and ASP.NET Core for back-end development - Experience with SQL Server or Azure SQL and Entity Framework Core - Working knowledge of React or Angular for front-end development - Experience with Git-based source control, pull request workflows, and Azure DevOps - Familiarity with CI/CD practices and agile delivery environments - Hands-on experience with AI coding assistants (GitHub Copilot, Cursor) and general-purpose LLMs (Claude, ChatGPT, Azure OpenAI) for code generation, documentation, and technical exploration - Ability to write structured, context-rich prompts for AI coding tools to produce targeted output; habit of iterating on prompts to improve output quality - Consistent practice of critically evaluating AI-generated code for correctness, security risks, and alignment with team architecture and coding standards before committing - Foundational understanding of agentic development workflows: comfortable contributing in a pod model where AI agents participate in code generation and test scaffolding, able to scope generation tasks effectively and take full ownership of reviewing, integrating, and improving AI-generated output - Creative problem-solving and troubleshooting skills - Self-motivated, collaborative, and detail-oriented with strong communication workflows - Must be authorized to work in the U.S Benefits - Competitive compensation - Medical, dental, vision, and life insurance plans - 401k match - Paid time off

Role Description The Quality Engineer, AI-Native is a core contributor on the quality engineering team, responsible for designing and owning automated test coverage across API, UI, and integration layers within Libra Solutions’ AI-native delivery model. This role requires hands-on automation expertise and the ability to operate effectively as the quality safeguard in an agentic engineering environment. - Design, implement, and maintain automated UI and end-to-end test suites using Playwright / TypeScript, covering critical user workflows across React and Angular front-end applications. - Write automated API tests against C# / ASP.NET Core REST endpoints using TypeScript HTTP client libraries or C# / xUnit / NUnit test projects; validating request contracts, response schemas, business logic, and error handling. - Build and maintain integration tests that validate service-to-service interactions and data flows across the application stack, including SQL Server / Azure SQL data validation. - Contribute to test data strategy for the squad’s automated suites: design repeatable, isolated data setup and teardown that enables reliable parallel test execution. - Use AI-assisted tools (GitHub Copilot, Claude) with structured prompts to accelerate test scaffolding and test generation across API, UI, and integration layers. - Critically evaluate all AI-generated tests before committing — review for coverage completeness, assertion quality, and absence of false confidence. - Work within Libra’s agentic engineering model: AI agents accelerate code generation at scale; QEs own the quality judgment that determines what ships. - Contribute to Azure DevOps CI/CD pipelines, ensuring automated suites run as mandatory quality gates on every build with actionable pass/fail signal. - Identify, document, and track bugs/defects in Jira with clear reproduction steps and test evidence; partner with engineers to drive timely resolution. - Participate in sprint ceremonies and contribute to test planning, risk assessment, and acceptance criteria definition alongside the Technical Product Owner. - Partner with offshore QE engineers on the squad to scope test cases clearly, provide review feedback, and maintain shared quality standards. Qualifications - Bachelor’s degree in Computer Science, Information Technology, or related field, or equivalent professional experience. - 2+ years of hands-on test automation experience writing code-based test suites. - Proficiency in Playwright and TypeScript for UI and end-to-end test automation. - Experience writing automated API tests in code (TypeScript HTTP clients, C# / xUnit / NUnit, or equivalent), not just exploratory API testing with Postman. - Working knowledge of C# / .NET applications as the system under test; ability to read C# code to understand expected behavior. - Familiarity with SQL Server or Azure SQL for data validation within automated tests. - Experience integrating automated tests into Azure DevOps CI/CD pipelines as quality gates. - Hands-on experience with AI tools (GitHub Copilot, Claude, ChatGPT) for test scaffolding, test data generation, and defect analysis. - Understanding of the QE role in an agentic delivery model: able to adapt test strategy and coverage to environments where AI agents contribute significantly to code generation. - Creative problem-solving and troubleshooting skills. - Self-motivated, ownership-oriented, and technically precise; treats test reliability as a first-class concern. - Must be authorized to work in the U.S. Benefits - Competitive compensation. - Medical, dental, vision, and life insurance plans. - 401k match. - Paid time off.

Role Description The Manager, AI-Native Software Engineering leads a team of engineers building and maintaining the platforms that power Libra Solutions’ products within an agentic delivery model. This role combines people leadership with technical oversight, and is accountable for delivering high-quality software, growing the team’s AI-native capabilities, and ensuring the team operates effectively in a pod model where AI agents are active participants in the SDLC alongside human engineers. The ideal candidate is a player-coach who manages and develops a team effectively while staying connected to the technical work. They bring strong engineering depth in the Microsoft / Azure stack, proven people leadership skills, and demonstrated experience leading teams. This role partners closely with Engineering, Product, and business stakeholders to deliver high-quality software at scale. This position reports to the Director of Engineering and can be based in any of our office locations in Denver, CO, Huntersville, NC, Rosemont, IL or Las Vegas, NV. We welcome strong remote candidates, with occasional travel to Las Vegas as needed. Qualifications - Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent professional experience - 7+ years of professional software development experience - 2+ years of people management or team leadership experience - Strong hands-on background in C# / ASP.NET Core, Entity Framework Core, SQL Server / Azure SQL, and React or Angular - Experience with Azure DevOps, CI/CD pipelines, and cloud-native deployment practices on Azure - Experience partnering closely with engineering, product, and business stakeholders in an agile delivery environment - Demonstrated ability to lead, develop, and retain a high-performing engineering team - Strong problem-solving, communication, organizational, and coaching skills - Hands-on familiarity with AI-assisted development tooling (GitHub Copilot, Claude, Azure OpenAI) and a demonstrated commitment to building AI-native engineering practices - Experience leading teams within agentic or AI-accelerated delivery models, or a clear understanding of how agentic workflows change team rhythms, role expectations, and quality ownership Requirements - Manage, mentor, and develop a team of software engineers across all experience levels - Conduct regular 1:1s, provide timely and constructive feedback, and support each engineer’s professional growth and career development - Partner with recruiting to grow the team by attracting and hiring engineers aligned with the team’s AI-native technical direction - Set clear expectations, foster accountability, and build a culture of trust, collaboration, and continuous improvement - Address performance issues constructively and proactively - Own the team’s delivery commitments; ensure features, bug fixes, and technical investments are completed on time and meet quality standards - Participate in sprint planning, backlog refinement, and prioritization discussions with Product and stakeholders - Remove blockers, manage dependencies, and ensure the team has what it needs to execute effectively - Monitor and continuously improve team velocity, predictability, and delivery health within the agentic pod model - Maintain strong technical engagement: participate in architecture discussions, code reviews, and technical planning - Ensure the team adheres to engineering standards for C# / .NET, API design, database patterns, front-end development, and CI/CD using Azure DevOps - Identify and address technical debt; champion sustainable engineering practices - Drive adoption and effective use of AI-assisted development tools across the team - Partner with other engineering leaders to define and uphold organizational AI development standards, prompt engineering practices, and AI output review requirements - Track and evaluate team-level engineering metrics to identify systemic issues and drive continuous improvement - Use data to communicate engineering health, technical decisions, tradeoffs, and statuses clearly to stakeholders and leadership - Contribute to engineering-wide initiatives including hiring practices, standards, tooling, and process improvement Benefits - Competitive compensation - Medical, dental, vision, and life insurance plans - 401k match - Paid time off

• Develops and builds relationships with attorneys and law firms in Central Florida • Reaches out to attorneys and sets schedule of weekly meetings • Develops new relationships with attorneys and law firms, and fosters existing attorney relationships to grow the business • Engages in ongoing dialogue with attorneys to keep MoveDocs top-of-mind to encourage use of our technology • Responsible for all attorney contact including follow up, answering questions and training on MoveDocs technology • Assists and schedules plaintiffs for services as requested by attorney clients • Develop and strengthen relationships with attorneys, case managers, paralegals, and law firms across the assigned Region • Promote and grow usage of the MoveDocs platform for medical scheduling and case workflow solutions • Generate and expand pre-settlement funding opportunities through Oasis Financial • Schedule and conduct weekly in-person and virtual meetings with law firms • Maintain ongoing communication to keep Libra Solutions top-of-mind • Train firms on platform functionality, attorney portal tools, and funding solutions • Assist with attorney requests, service coordination, and follow-up needs • Maintain accurate activity notes, pipeline updates, and account plans in CRM systems • Collaborate internally with operations, underwriting, provider relations, and leadership teams

• Data validation across company platforms with precision (40%) • Utilize various search tools to investigate incomplete or inconsistent information (10%) • Exercise independent judgment when analyzing discrepancies in data (25%) • Audit portfolio and profile information for potential inaccuracies (15%) • Miscellaneous administrative duties including data entry, and technology enhancement testing (10%)

Role Description The Risk & Data Validation Specialist will be a member of the Enterprise Risk Team with strong attention to detail and analytical skills. Their role is to verify ongoing customer status and assist other teams in updating information and validating data across the company’s platforms to ensure accuracy and consistency. The position reports to the Director, Enterprise Risk. - Data validation across company platforms with precision (40%) - Utilize various search tools to investigate incomplete or inconsistent information (10%) - Exercise independent judgment when analyzing discrepancies in data (25%) - Audit portfolio and profile information for potential inaccuracies (15%) - Miscellaneous administrative duties including data entry, and technology enhancement testing (10%) Qualifications - Bachelor’s degree or equivalent experience - Superb critical thinking and analytical skills - Strong attention to detail - Ability to conduct research and reach reasonable and sound conclusions - Excellent verbal and written communication skills - Computer literate and familiarity with common computer programs (i.e. Microsoft Office, Excel, etc.) - Dependable, professional, punctual and good work ethic Benefits - Competitive compensation (salary and bonus eligibility) - Health, dental and vision plans - 401(k) - Flexible spending account - Paid time off Company Description When life gets hard, we make it easier! Libra Solutions helps overcome the burdens created by slow-moving legal processes. Combining technical innovation and financial strength, we help speed cumbersome workflows and ease financial barriers for our customers. And our companies are leaders in their industries! - Oasis Financial is the largest and most recognized national brand in consumer legal funding, helping consumers awaiting legal settlements to move forward with their lives. - MoveDocs is a personal injury solutions platform that integrates and streamlines medical, financial, and professional services for personal injury cases. - We are proud of our mission to improve outcomes for plaintiffs, accelerate settlements for attorneys, and ensure timely payment for providers. - Leading inheritance funding provider through Probate Advance, helping heirs access their inheritance immediately, without the lengthy process of probate. - Relationships with over 40,000 attorneys and over 7,000 healthcare providers nationwide.