Collaborate with engineers to develop scalable web applications using Ruby on Rails and React.js, ensuring high quality and performance. Solve complex issues and maintain existing systems.

The Platform Engineer will manage Azure cloud environments, automate infrastructure using IaC, and develop CI/CD pipelines while ensuring security and reliability.

The Quality Engineer will lead efforts in AI-assisted QA automation by implementing tools, frameworks, and CI/CD integration, while promoting best practices in quality assurance.

The AI Solution Architect will lead AI technical strategies, evaluate AI opportunities, architect solutions, and collaborate with various stakeholders for AI modernization.

Develop and optimize backend services with NestJS and TypeScript, support frontend components, collaborate with teams, and enhance system performance.

Design, develop, and maintain backend systems and APIs using ASP.NET. Collaborate across teams, optimize performance, and enforce security best practices.

The role involves developing and maintaining responsive web applications using Angular, optimizing performance, and collaborating with cross-functional teams to enhance user experience.

The Staff Fullstack Engineer will lead the design of complex web applications using .NET and Angular, focusing on microservices and cloud solutions. Responsibilities include mentoring, optimizing system performance, and contributing to architectural decisions.

The QA Engineer will create, execute, and maintain manual and automated tests for WPF desktop applications, ensuring quality and functionality while collaborating with cross-functional teams.

As a QA Automation Engineer, you'll design and maintain automated test frameworks for .NET applications, ensuring quality and integration with CI/CD. Responsibilities include test planning, collaboration with developers, and manual testing for complex features.

Seeking a Senior Product Designer to lead the evolution of educational experiences, collaborating with cross-functional teams to create intuitive design solutions across web-based platforms.

Develop and maintain backend systems in Python, integrating LLM-based APIs into production systems, collaborating with cross-functional teams, and proactively identifying problems.

The Senior AI Engineer will architect and scale LLM systems, ensuring reliability and performance, while mentoring others and contributing to AI platform decisions.