[Hiring] Senior Cloud Solutions Engineer @Pharmavite

Role Description

The Senior Cloud Solutions Engineer serves as a key technical leader responsible for designing, building, and supporting scalable solutions across both cloud and on-premises environments. This role bridges front-end applications, back-end services, and enterprise systems to deliver reliable, high-performance solutions that support critical business operations.

As a senior individual contributor, this position owns solution architecture and implementation across a hybrid technology landscape, ensuring alignment with enterprise standards and long-term modernization strategies.

Beyond solution delivery, this role is expected to influence technical direction, promote engineering best practices, mentor other engineers, evaluate emerging technologies including AI capabilities, and serve as a trusted technical advisor across the organization.

Key Responsibilities

• Solution Architecture & Development: Design, develop, and maintain scalable web applications and APIs using modern frameworks (React, .NET Core), ensuring high performance, security, and maintainability.
• Cloud Engineering: Architect and manage Azure-based solutions, including App Services, storage, identity management, and related services to support highly available, resilient applications.
• Enterprise Integration: Design and implement integration solutions connecting cloud and on-premises systems (e.g., SQL Server, Oracle, Azure SQL) using modern iPaaS platforms such as Boomi, MuleSoft, or Azure Logic Apps.
• DevOps & Automation: Build and maintain CI/CD pipelines using Azure DevOps to automate testing, security validation, and multi-environment deployments.
• Technical Leadership & Mentorship: Provide technical guidance and mentorship to team members and external partners. Lead by example in coding standards, architecture design, and development best practices.
• Vendor & Partner Oversight: Provide technical oversight of third-party development efforts, ensuring alignment with internal standards, architecture, and security requirements.
• Standards & Governance: Define and enforce development standards, architectural patterns, and best practices across solutions.
• Collaboration & Stakeholder Engagement: Partner with business stakeholders, product owners, and data teams to design solutions that support enterprise data and analytics strategies.
• System Monitoring & Documentation: Ensure system reliability through monitoring tools (Azure Monitor, Application Insights) and maintain clear technical documentation using tools like Swagger and Postman.
• Continuous Improvement: Evaluate and recommend new technologies, tools, and frameworks to improve system performance, scalability, and developer productivity.
• AI-Enabled Solution Development: Identify, evaluate, prototype, and implement AI-enabled solutions that improve enterprise applications, business processes, and developer productivity.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience).
• 10+ years of experience in software engineering, including design and development of enterprise applications.
• Proven experience building and supporting cloud-based applications, preferably in Microsoft Azure.
• Hands-on experience developing, integrating, or supporting at least one AI, machine learning, generative AI, intelligent automation, or AI-enabled application project in Azure or a comparable cloud/platform environment.
• Experience leading technical initiatives or owning solutions end-to-end.
• Experience evaluating, prototyping, or integrating AI-enabled capabilities into enterprise applications or business processes.

Requirements

• Strong proficiency in C# and .NET (Core/.NET 6+).
• Experience with modern front-end frameworks (React, TypeScript preferred).
• Solid understanding of RESTful API design and microservices architecture.
• Strong SQL skills and experience with relational databases.
• Hands-on experience with CI/CD pipelines and Git-based version control.
• Experience with enterprise integration patterns and iPaaS platforms.
• Practical understanding of AI solution patterns such as prompt engineering, retrieval-augmented generation (RAG), AI service/API integration, model evaluation.
• Experience working with Azure AI services, Azure OpenAI Service, Azure AI Search, Azure Machine Learning, Copilot Studio, Power Platform AI capabilities, or comparable AI/ML platforms.
• Experience integrating AI services or Large Language Models (LLMs) into enterprise applications using APIs and SDKs.
• Understanding of AI solution patterns including prompt engineering, Retrieval-Augmented Generation (RAG), semantic search, AI orchestration, and model evaluation.
• Familiarity with AI orchestration frameworks such as Semantic Kernel, LangChain, LangGraph, Microsoft AI Foundry, or similar technologies is desirable.
• Knowledge of Responsible AI principles including AI security, data privacy, governance, and protection of enterprise information.
• Understanding of vector search, embeddings, and enterprise knowledge retrieval concepts is preferred.
• Experience with Azure services such as App Services, storage, and identity management.
• Familiarity with infrastructure automation and deployment strategies.

Benefits

• Competitive compensation programs.
• Annual performance bonus.
• Medical, dental, and vision benefits.
• 401K match.
• Other wellness benefits.