Design and implement autonomous AI workflows to automate software development, maintenance, and operational activities across multiple products. Build multi-agent systems capable of performing bug investigation, code modification, testing, and deployment with minimal human intervention.
You will lead the modernization and management of Microsoft 365 services and identity platforms while driving enterprise-wide automation. Additionally, you will collaborate with security teams to strengthen the company's cybersecurity posture and provide technical leadership across global infrastructure projects.
The QA Automation Engineer will contribute to AI-first QA practices and manage cloud-based quality assurance labs for the On Demand Migration SaaS product. They will utilize AI coding agents to perform automated testing, debugging, and solution design within an Agile SCRUM team.
Develop and maintain automated testing frameworks and risk-based quality strategies for Azure SaaS and enterprise software, covering functional, API, integration, performance, security, and scalability testing. Champion responsible AI-assisted testing practices, collaborate across Agile teams, and improve CI/CD quality gates, test environments, observability, and release confidence.
The Enterprise Account Manager is responsible for identifying, developing, and closing new business opportunities within existing accounts. They will sell data governance, AI readiness, and database management solutions while engaging with senior IT and business leaders.
The Channel Account Manager will own and expand strategic partnerships across EMEA to drive revenue growth and pipeline development. They will act as the primary interface between Quest and the partner, orchestrating collaboration across regional sales and internal stakeholders.
The AI Software Engineer will contribute to the adoption of AI-first development practices and build scalable, cloud-native SaaS capabilities on Microsoft Azure. They will utilize AI coding agents for solution design, implementation, debugging, and refactoring while maintaining high standards for code quality and architecture.
The developer will contribute to AI-first software development practices and design scalable, cloud-native SaaS capabilities using C#/.NET and Azure. They will also be responsible for implementing new features, maintaining critical product components, and participating in Agile SCRUM processes.
The developer will design and maintain scalable, cloud-native SaaS capabilities using C#/.NET and Azure technologies. They will also lead the adoption of AI-first development practices by utilizing AI coding agents for implementation, testing, and debugging.
The AI Software Engineer will define and implement AI-first development practices while contributing to a cloud-native SaaS product on Microsoft Azure. Responsibilities include designing reusable AI prompts, building scalable backend services, and mentoring the team on AI-assisted coding workflows.
The AI Software Engineer will contribute to the adoption of AI-first development practices and build scalable, cloud-native SaaS capabilities on Microsoft Azure. They will utilize AI coding agents for solution design, implementation, debugging, and refactoring while maintaining high standards for code quality and architecture.
Develop and execute integrated regional marketing strategies to drive pipeline growth and revenue across the DACH region. Partner closely with sales leadership to align marketing initiatives with strategic business priorities and account-based engagement.
The developer will contribute to the adoption of AI-first software development practices while building and maintaining scalable, cloud-native SaaS capabilities. They will work across the full development lifecycle, including design, implementation, automated testing, and troubleshooting using C#, Python, and Azure/AWS technologies.
The role involves contributing to the adoption of AI-first software development practices while building scalable, cloud-native SaaS capabilities on Microsoft Azure. You will use AI coding agents for solution design, implementation, debugging, and refactoring to improve development speed and code quality.
The Customer Success Manager will manage a portfolio of accounts to drive product adoption, customer satisfaction, and long-term retention. They will act as a trusted advisor to stakeholders, developing success plans and identifying opportunities for growth and expansion.
The Customer Success Manager will own relationships with strategic accounts, managing stakeholder engagement and developing success plans to drive business outcomes. They will also mentor team members, facilitate executive business reviews, and collaborate across departments to ensure product adoption and growth.
The Customer Success Manager manages a portfolio of strategic accounts to ensure maximum value realization, adoption, and long-term retention. They facilitate executive business reviews, develop success plans, and collaborate across internal teams to drive growth and resolve high-impact customer issues.
The role involves defining and advancing AI-first software development practices for a cloud-native SaaS product on Microsoft Azure. You will contribute to the codebase while designing reusable prompts, agent instructions, and workflows to improve development speed and code quality.
The developer will design, code, and maintain enterprise software components while championing the adoption of AI-assisted development practices across the team. They will also mentor team members on the effective and secure use of AI coding tools within the software development lifecycle.
Manage a portfolio of strategic global accounts to ensure maximum value realization and long-term retention through adoption and value engagements. Lead the customer lifecycle from deployment to renewal, facilitating Executive Business Reviews and coordinating with internal teams to drive growth.
Manage enterprise accounts to help organizations implement solutions in data governance, cybersecurity, and platform modernization. Drive business growth by preparing enterprises to unlock their full potential through AI-ready infrastructure.
