QA Director 100 applicants
Define and drive the quality architecture focusing on kernel, driver, and module testing. Design and implement an automated test infrastructure while advocating for metrics and observability.
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Define and drive the quality architecture focusing on kernel, driver, and module testing. Design and implement an automated test infrastructure while advocating for metrics and observability.
The Executive Coordinator will manage the manager’s calendar, handle invoicing, and maintain financial dashboards. This role also involves coordinating communication with clients and supporting internal teams with various administrative tasks.
The Senior QA Engineer will independently design and execute test strategies for On-Prem to Azure migration projects, validating application functionality and performance post-migration. They will collaborate with customer teams to define migration testing requirements and ensure compliance with Azure best practices.
The Sales Assistant II will engage with customers to understand their business needs and identify suitable licensing solutions. They will manage renewals, support cloud migration, and drive customer acquisition for educational clients.
Build and deploy full-stack applications that incorporate machine learning models. Collaborate with cross-functional teams to deliver polished, end-to-end solutions.
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You will work with product, data, and engineering teams to define ML goals and technical strategies. Your role includes designing, building, and deploying machine learning models that power personalization, automation, and insight generation.
You will work with product, data, and engineering teams to define ML goals and technical strategies. Your role includes designing, building, and deploying machine learning models that power personalization, automation, and insight generation.
You will build and deploy full-stack applications that incorporate machine learning models and collaborate with cross-functional teams to deliver intelligent features. Your role will involve owning the full development lifecycle, from architecture and testing to deployment and monitoring.
You will build and deploy full-stack applications that incorporate machine learning models and collaborate with cross-functional teams to deliver intelligent features. Your role will involve owning the full development lifecycle, from architecture and testing to deployment and monitoring.
You will work with product, data, and engineering teams to define ML goals and technical strategies. Your role includes designing, building, and deploying machine learning models that power personalization, automation, and insight generation.
As an Associate Product Manager for the Platform Security team, you will translate complex technical concepts into clear documentation and enablement materials. You will coordinate communications for launches, gather feedback, and track adoption signals to inform future improvements.
You will build and deploy full-stack applications that incorporate machine learning models and collaborate with data scientists and ML engineers to integrate these models into scalable backend systems. Additionally, you will design intuitive UIs and own the full development lifecycle from architecture to monitoring.
You will work with product, data, and engineering teams to define ML goals and technical strategies. Your role includes designing, building, and deploying machine learning models that power personalization, automation, and insight generation.
You will build and deploy full-stack applications that incorporate machine learning models and collaborate with cross-functional teams to deliver polished solutions. Your role will involve owning the full development lifecycle and continuously improving AI-integrated applications.
You will work with product, data, and engineering teams to define ML goals and technical strategies. Your role includes designing, building, and deploying machine learning models that power personalization, automation, and insight generation.
Build and deploy full-stack applications that incorporate machine learning models and develop APIs and backend services for intelligent features. Collaborate with cross-functional teams to deliver polished, end-to-end solutions.
As a Founding AI Engineer, you will build and deploy full-stack applications that incorporate machine learning models and collaborate with cross-functional teams to deliver intelligent features. You will own the full development lifecycle, from architecture and testing to deployment and monitoring.
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As a Founding AI Engineer, you will build and deploy full-stack applications that incorporate machine learning models and collaborate with cross-functional teams to deliver intelligent features. You will own the full development lifecycle, from architecture and testing to deployment and monitoring.
You will collaborate with product, data, and engineering teams to define machine learning goals and technical strategies. Your role includes designing, building, and deploying machine learning models that power personalization, automation, and insight generation.
As an AI Software Engineer, you will design, build, and deploy machine learning models that power personalization, automation, and insight generation. You will also manage the entire ML lifecycle and integrate ML outputs into user-facing products and backend systems.
Develop high-quality backend systems using NodeJS and frontend applications using ReactJS/NextJS. Ensure production stability and mentor junior developers while maintaining code quality.
Develop high-quality backend systems using NodeJS while adhering to best coding practices. Ensure production stability and promptly resolve critical issues to minimize operational impact.
Build and deploy full-stack applications that incorporate machine learning models and develop APIs and backend services for intelligent features. Collaborate with cross-functional teams to deliver polished, end-to-end solutions while continuously improving application performance and usability.
Build and deploy full-stack applications that incorporate machine learning models. Collaborate with cross-functional teams to deliver polished, end-to-end solutions.
You will work with product, data, and engineering teams to define machine learning goals and technical strategies. Your role includes designing, building, and deploying machine learning models that power personalization, automation, and insight generation.
Develop and execute automated tests for microservices and infrastructure components. Collaborate with DevOps Engineers to integrate tests into CI/CD pipelines and ensure API stability through contract testing.
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Develop high-quality backend systems using NodeJS while ensuring production stability and resolving critical issues. Analyze existing code for optimization and mentor junior developers on best practices.
Develop high-quality backend systems using NodeJS while ensuring production stability and resolving critical issues. Mentor junior developers and maintain code quality through peer reviews.
You will design automated solutions and develop reporting capabilities while optimizing internal service delivery functions. Collaborating with service delivery teams, you will build low-code/no-code applications and provide actionable insights through dashboards and reporting tools.
The Lead Software Developer will manage and lead the design and development of scalable, secure software solutions using full stack web frameworks and cloud-first approaches. They will supervise resource allocation and project timelines while ensuring alignment with business objectives and maintaining existing codebases.
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