Upskilling In The Ai Stack
SeniorFullStackSoftwareEngineer
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“Senior Full Stack Software Engineer at Upskilling In The Ai Stack. Skills: Azure, Full-stack development, AI integration. Design Azure services. Build Azure services”
Industry & Context.
performance optimization
What They're Looking For.
Must Have
full‑stack or backend engineer, enterprise systems on Azure, C#, Java, Python, NodeJS, ReactJS, Azure services, App Service, Functions, API Management, Service Bus, Event Grid, Storage, Key Vault, Azure SQL, Cosmos DB, distributed system design, microservices, security, resiliency, performance optimization, CI/CD tools, GitHub Actions, Azure DevOps, AI/LLM/agentic technologies, Azure OpenAI, Semantic Kernel, LangChain
Nice to Have
enterprise or regulated environment
What You'll Do.
Design Azure services
Maintain Azure services
Develop cloud-native applications
Implement backend services
Implement integrations
Build front-end experiences
Build full-stack experiences
Apply software engineering best practices
Integrate AI capabilities
Integrate agentic capabilities
Implement observability
Implement reliability engineering
Contribute to architectural decisions
Contribute to technical design discussions
Work with cross-functional teams
Participate in code reviews
Participate in design workshops
Develop engineering best practices
Collaborate with AI specialists
Integrate intelligent capabilities
How You'll Work.
Team & Collaboration
Work closely with cross-functional teams; Collaborate with cloud engineering; Collaborate with product teams; Collaborate with data teams; Participate in code reviews; Participate in design workshops; Collaborate with AI/agentic specialists
Full Job Description
We are looking for a strong full‑stack software engineer with deep experience in building enterprise-grade systems on Azure. This role focuses primarily on designing, developing, and scaling secure, reliable cloud services and applications. Candidates should bring solid engineering fundamentals, proven experience delivering enterprise solutions, and an interest in learning and applying modern AI/agentic technologies. Experience with AI frameworks is not required—minimal to intermediate familiarity is sufficient as long as you are enthusiastic about upskilling in the AI stack. **Position Responsibilities:** **Design & Development** \- Design, build, and maintain enterprise-grade Azure services and cloud-native applications. \- Implement scalable backend services, APIs, and integrations using modern engineering patterns. \- Build high-quality front-end or full-stack experiences using modern frameworks (React, Angular, etc.). \- Apply software engineering best practices, including testing, secure coding, and CI/CD pipelines. \- Learn and integrate AI/agentic capabilities (e.g., Azure OpenAI, Semantic Kernel, Azure Agent Framework) as part of solution design. **Integration, Quality & Governance** \- Ensure security, governance, and compliance for cloud-based enterprise applications. \- Implement monitoring, observability, and reliability engineering practices across services. \- Contribute to architectural decisions and technical design discussions. **Collaboration** \- Work closely with cross-functional teams, including cloud engineering, product, and data teams. \- Participate in code reviews, design workshops, and engineering best practice development. \- Collaborate with AI/agentic specialists to integrate intelligent capabilities into applications. **Required Qualifications:** \- At least 5-7 years of proven experience as a full‑stack or backend engineer building enterprise systems on Azure. \- Strong proficiency in at least one major programming language: C#, Java
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