
1001 - 5000 employees
Founded 2010
🏢 Enterprise
Enterprise
Vantage Data Centers is a company specializing in the design, development, and operation of highly flexible and scalable data centers. These data centers cater to hyperscalers, cloud providers, and large enterprises, offering state-of-the-art facilities across 5 continents and 21 markets. Vantage focuses on providing large-scale campuses that enable customers to grow steadily, with over 23 million square feet dedicated to data center space and 2. 6GW+ of power capacity. Committed to sustainability and efficiency, Vantage ensures 100% uptime with standardized designs offering predictability and performance. The company is backed by prominent investors such as DigitalBridge Group and Silver Lake, maintaining a strong financial standing and excellent customer satisfaction rates.
🔥 2 hours ago
🇺🇸 United States – Remote
💵 $130k - $135k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor
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1001 - 5000 employees
Founded 2010
🏢 Enterprise
Enterprise
Vantage Data Centers is a company specializing in the design, development, and operation of highly flexible and scalable data centers. These data centers cater to hyperscalers, cloud providers, and large enterprises, offering state-of-the-art facilities across 5 continents and 21 markets. Vantage focuses on providing large-scale campuses that enable customers to grow steadily, with over 23 million square feet dedicated to data center space and 2. 6GW+ of power capacity. Committed to sustainability and efficiency, Vantage ensures 100% uptime with standardized designs offering predictability and performance. The company is backed by prominent investors such as DigitalBridge Group and Silver Lake, maintaining a strong financial standing and excellent customer satisfaction rates.
• Design and deliver AI-powered prototypes within 6‑week sprint cycles, producing production-quality code that demonstrates business value and supports future enterprise productization. • Build intelligent solutions leveraging the Microsoft 365 ecosystem, including Azure AI Services, Azure OpenAI, Copilot Studio, and Power Platform. • Partner with Accelerators and Navigators to translate validated opportunities into working solutions, providing feedback on feasibility, performance, and implementation complexity. • Apply SDLC best practices—version control, code reviews, automated testing, and CI/CD—within a rapid prototyping environment to balance quality and speed. • Produce clear technical documentation (code, APIs, deployment, and architecture decisions) to enable seamless handoff to Development teams. • Demonstrate prototypes to stakeholders, translating technical capabilities into business value and incorporating feedback into iterative improvements. • Make pragmatic engineering decisions that balance speed, technical debt, and long-term scalability. • Develop solutions using Halo and Copilot platforms in alignment with enterprise architecture and platform standards.
• Bachelor’s degree in Computer Science, Software Engineering, or related field; advanced degree or relevant AI/ML certifications preferred. • Strong hands-on experience building AI/ML solutions using modern frameworks (e.g., LangChain, Semantic Kernel, or similar agentic platforms). • Proficiency in Python and TypeScript/JavaScript, with a track record of writing clean, maintainable, well-documented code. • Deep experience with Microsoft Azure, including Azure OpenAI, Azure AI Services, Azure Functions, Logic Apps, and Power Platform. • Experience developing within the Microsoft Copilot ecosystem (Copilot Studio, Microsoft Graph, Teams, SharePoint). • Solid understanding of machine learning, NLP, retrieval-augmented generation, prompt engineering, and agentic system design. • Experience with modern development practices including Git, CI/CD pipelines, containerization, infrastructure as code, and cloud-native architectures. • Strong API and integration experience, including REST services, OAuth/authentication, and enterprise system connectivity. • Proven ability to deliver high-quality software under tight timelines while balancing speed and technical rigor. • Familiarity with data center operations, construction workflows, or infrastructure delivery is a plus. • Knowledge of security, data privacy, and enterprise compliance standards. • Strong problem-solving and debugging skills, particularly in complex, integrated environments. • Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders. • Self-directed, adaptable, and comfortable working in fast-paced, minimally supervised environments. • Demonstrated growth mindset with enthusiasm for learning, experimentation, and knowledge sharing.
• medical, dental, and vision coverage • life and AD&D • short and long-term disability coverage • paid time off • employee assistance • participation in a 401k program that includes company match
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