Job Summary

Full Stack Developer 

Azure Cloud Applications  •  AI-Powered Platforms 

React / Node.js / FastAPI / LangChain / LangGraph / GitHub Copilot 

Position Overview 

We are seeking a highly skilled and motivated Full Stack Developer to join our engineering team. In this role, you will design, build, and maintain cloud-native applications deployed on Microsoft Azure, leveraging a modern technology stack that includes React, Node.js, FastAPI, LangChain, and LangGraph. You will collaborate with cross-functional teams to deliver scalable, secure, and intelligent solutions that drive business value and innovation. 

This is a pivotal technical role that bridges front-end user experience, back-end API services, AI/ML integrations, and cloud infrastructure. The ideal candidate brings deep full-stack proficiency, a strong foundation in Azure cloud services, experience with AI-assisted development tools such as GitHub Copilot, and a commitment to following Syneos-defined AI development guides, security guardrails, and engineering best practices in an agile environment. 

Key Responsibilities

Key Responsibilities 

Front-End Development 

• Design and develop responsive, accessible, and performant user interfaces using React.js. 

• Implement state management solutions and integrate RESTful and GraphQL APIs into front-end components. 

• Ensure cross-browser compatibility, mobile responsiveness, and adherence to UX/UI best practices. 

• Collaborate with designers and product owners to translate wireframes and requirements into production-ready code. 

Back-End Development 

• Build and maintain robust RESTful APIs and microservices using Node.js and FastAPI (Python). 

• Develop and integrate AI/ML workflows using LangChain and LangGraph for intelligent, agent-based application features. 

• Design data models and manage data persistence across Azure Cosmos DB, SQL Managed Instance (SQL MI), PostgreSQL and Azure Blob Storage. 

• Implement security best practices including authentication, authorization, and data encryption at the application layer. 

Azure Cloud Infrastructure & Services 

• Deploy and manage containerized applications on Azure Kubernetes Service (AKS), including writing and maintaining Helm charts for repeatable, versioned deployments. 

• Build, optimize, and maintain Docker container images following best practices for security, layering, and image size. 

• Manage Kubernetes workloads: define deployments, services, config maps, secrets, resource quotas, and horizontal pod autoscaling. 

• Leverage Azure Blob Storage for scalable object storage, file management, and media pipelines. 

• Integrate Azure AI Search for intelligent full-text and vector search capabilities across application data. 

• Utilize Azure AI Foundry for building, testing, and deploying AI models and prompt flows within the application ecosystem. 

• Configure and optimize Azure SQL Managed Instance for relational data workloads. 

AI-Driven Development & GitHub Copilot 

• Leverage GitHub Copilot and AI-assisted coding tools to accelerate feature development, reduce boilerplate, and improve code quality. 

• Follow Syneos AI-driven development guidelines, including responsible use of AI code generation tools, prompt engineering standards, and output review protocols. 

• Contribute to the team's AI tooling practices by sharing learnings, reviewing AI-generated code rigorously, and ensuring adherence to coding standards. 

Security, Compliance & Best Practices 

• Adhere strictly to Syneos security guardrails and engineering best practices across all phases of development — design, implementation, testing, and deployment. 

• Follow Syneos-defined secure coding standards including input validation, secrets management via Azure Key Vault, least-privilege IAM, and dependency vulnerability management. 

• Participate in security reviews, threat modeling sessions, and ensure code meets compliance requirements relevant to the organization's regulatory environment. 

• Apply OWASP guidelines and perform regular dependency audits to proactively identify and remediate vulnerabilities. 

DevOps & CI/CD 

• Maintain and enhance GitHub Actions-based CI/CD pipelines to support automated builds, testing, linting, container image builds, and Kubernetes deployments. 

• Write and maintain Infrastructure as Code (IaC) using Terraform or Bicep for repeatable Azure resource provisioning. 

• Monitor application health, performance, and reliability using Azure Monitor, Application Insights, and logging frameworks. 

• Participate in on-call rotations and incident response to ensure system availability and rapid issue resolution. 

Collaboration & Communication 

• Partner with product managers, architects, QA engineers, and data scientists across the full development lifecycle. 

• Conduct and participate in thorough code reviews to maintain code quality and foster knowledge sharing. 

• Contribute to technical documentation, architecture decision records (ADRs), and runbooks. 

Communicate project status, risks, and technical trade-offs clearly to both technical and non-technical stakeholders

Skill Requirements

Required Qualifications 

Experience & Education 

• 5+ years of professional full-stack software development experience in production environments. 

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or equivalent practical experience. 

Front-End Skills 

• Proficiency in React.js including hooks, context, and component lifecycle management. 

• Strong command of JavaScript (ES6+), HTML5, and CSS3; TypeScript experience is a strong plus. 

• Experience with frontend build tools such as Webpack, Vite, or Create React App. 

Back-End Skills 

• Hands-on experience building RESTful APIs with Node.js (Express or similar) and/or FastAPI. 

• Practical experience developing AI-powered workflows with LangChain and/or LangGraph. 

• Familiarity with asynchronous programming patterns, message queues, and event-driven architectures. 

Containers, Orchestration & Deployment 

• Proficiency with Docker — writing Dockerfiles, building multi-stage images, and managing container registries. 

• Hands-on Kubernetes experience — deploying, scaling, and troubleshooting workloads; familiarity with kubectl and core Kubernetes objects (pods, deployments, services, ingresses, config maps, secrets). 

• Experience authoring and managing Helm charts for packaging and deploying Kubernetes applications. 

Database & Storage 

• Experience with Azure Cosmos DB (NoSQL) for high-throughput, globally distributed workloads. 

• Proficiency with SQL and relational database design; experience with Azure SQL Managed Instance preferred. 

• Working knowledge of Azure Blob Storage for binary and unstructured data management. 

Azure Cloud Services 

• Hands-on experience with Azure Kubernetes Service (AKS) — cluster management, node pools, networking, and RBAC. 

• Familiarity with Azure AI Search for semantic and full-text search integration. 

• Experience using Azure AI Foundry for AI model management, evaluation, and deployment. 

• General Azure fluency: networking, identity (Azure AD / Entra ID), Key Vault, Container Registry, and resource management. 

AI-Assisted Development 

• Demonstrated experience using GitHub Copilot or equivalent AI pair-programming tools in day-to-day development. 

• Ability to critically evaluate and responsibly integrate AI-generated code, ensuring quality, security, and maintainability. 

Version Control & CI/CD 

• Proficiency with Git and GitHub; experience structuring branching strategies and pull request workflows. 

• Experience authoring or maintaining GitHub Actions CI/CD pipelines for automated testing, container builds, and Kubernetes deployments. 

Preferred Qualifications 

• DevOps experience: infrastructure automation, Kubernetes cluster operations, and site reliability engineering practices. 

• Knowledge of Infrastructure as Code (IaC) using Terraform, Bicep, or ARM templates. 

• Microsoft Azure certifications (e.g., AZ-204: Azure Developer Associate, AZ-400: DevOps Engineer Expert). 

• Familiarity with observability and monitoring tools such as Azure Monitor, Application Insights, or Grafana. 

• Experience with agile/scrum methodologies and tools like Azure DevOps Boards or Jira. 

• Prior experience building AI-augmented enterprise applications or LLM-driven agent pipelines. 

• Exposure to vector databases (e.g., Azure AI Search vector indexes, Qdrant, Pinecone) for retrieval-augmented generation (RAG) pipelines. 

• Experience with Kubernetes network policies, service mesh (e.g., Istio, Linkerd), or advanced AKS features. 

Technical Skills at a Glance 

Communication & Interpersonal Skills 

Strong communication and collaboration skills are essential to success in this role. The ideal candidate will: 

• Demonstrate excellent verbal and written communication skills when interacting with technical and non-technical audiences. 

• Proactively share knowledge, document decisions, and mentor junior team members. 

• Manage competing priorities effectively and adapt quickly to evolving project requirements. 

• Participate constructively in team meetings, sprint ceremonies, and design reviews. 

• Build strong working relationships with stakeholders, vendors, and cross-functional teams. 

Other Requirements