Python-React Sr/Lead Fullstack with Azure or Python-DevOps Sr/Lead Developer with Azure(Remote USA) FTE

Position –   Python-React Sr/Lead Fullstack (Hands-on IC (Individual Contributor))Experience: 10+ years of software engineering experience, including 3+ years at Architect / Principal IC level # of positions: 2Location: New York OR New Jersey – Remote (but travel when required)   Full Stack Lead– AI-Enabled Platform Engineering (Hands-on IC)Product Development, Sustenance, Modernization & Agentic AI infusionTravel: 25% during active client engagementsExperience Level: 10+ yearsAbout the Role As a Full Stack lead you will be the senior-most hands-on full stack engineer embedded within a modern AI-enabled platform team, responsible for architecting and delivering a unified application that consolidates fragmented workflows into a centralized, scalable system.In this role, you will lead the design and development of both frontend and backend layers—building the application shell, user interface, and supporting services that power complex workflows, collaboration experiences, and structured evaluation processes. You will also drive integration with enterprise systems, data pipelines, and analytics platforms, enabling seamless interaction across structured and unstructured data sources.You will leverage Claude AI extensively as an engineering productivity accelerator—driving faster delivery, improving development efficiency, and enabling high-quality code, system design, and documentation. Claude will be a core part of your daily engineering workflow (coding, debugging, UI development, backend services, integrations, and documentation acceleration), but not a runtime dependency of the application architecture.This is a pure individual contributor architect role with ownership across the full technology stack—from user experience to backend services and integrations. Approximately 70–75% of your time will be hands-on coding, system design, and full stack engineering, with the remainder focused on collaboration with product and stakeholder teams to ensure successful delivery of a high-quality, enterprise-grade platform.Required Qualifications10+ years of software engineering experience, including 3+ years at Senior IC level building large-scale full stack platforms in enterprise environments.Proven experience designing and delivering end-to-end full stack systems that combine rich user interfaces, scalable backend services, and data-driven workflows.Extensive usage of Claude AI or equivalent AI coding assistants as a core development accelerator—demonstrated impact on engineering velocity, code quality, and GTM timelines.Full Stack Engineering (Required — Primary Focus Area)Strong expertise in frontend development using modern frameworks (React, Angular, or equivalent) for building scalable, responsive, and intuitive user interfaces.Deep expertise in backend development using Python and FastAPI for building high-performance, enterprise-grade systems.Hands-on experience building API-driven and service-oriented architectures (REST, GraphQL, event-driven patterns) across the stack.Proven ability to design and build scalable backend services and microservices architectures with strong modular and domain-driven design principles.Strong knowledge of data modeling, persistence layers, and database design (SQL/NoSQL) for high-volume, high-performance systems.Experience implementing event-driven and asynchronous systems using messaging, queues, and distributed processing patterns.Strong understanding of performance optimization, caching, scalability, and resiliency patterns across frontend and backend layers.Experience building secure applications with authentication, authorization, and governance controls for enterprise environments.Proven ability to design and deliver end-to-end application workflows spanning UI, APIs, business logic, and data layers.Cloud & Platform Engineering (Required — Primary Focus Area)Hands-on experience with cloud-native application development, including frontend hosting, backend services, and API management.Experience integrating with enterprise systems, data pipelines, and analytics platforms.Familiarity with designing systems that support AI-assisted workflows and intelligent application experiences.Strong understanding of CI/CD pipelines, observability, deployment models, and performance monitoring in distributed systems.Role :- FTE Position –   Python-DevOps Sr DeveloperExperience: 10+ years of software engineering experience, including 5+ years at Lead/ Principal IC level # of positions: 2C2C - $160k USD and above if candidate is goodLocation: New York OR New Jersey – Remote (but travel when required)   Senior Backend Developer – Python, FastAPI & AzureBackend Engineering, API Development, Cloud-Native Services & AI-Assisted Delivery Senior hands-on individual contributor / lead backend developerPython, FastAPI, REST APIs, Azure App Services, Azure Functions, Azure SQL / PostgreSQL, CI/CD  About the RoleAs a Senior Backend Developer – Python, FastAPI & Azure, you will be a senior hands-on backend engineer responsible for building scalable, secure, cloud-native backend services and APIs for modern enterprise application platforms.In this role, you will design, develop, test, and support Python / FastAPI services, API-first backend components, integration layers, data access modules, asynchronous processing flows, and Azure-hosted application services that power workflow-driven and AI-enabled product experiences.This is a highly hands-on senior developer role, not a pure architect or coordination role. The resource is expected to spend most of the time writing code, building APIs, reviewing pull requests, debugging production issues, improving performance, and ensuring delivery readiness. Role SnapshotSenior backend developer focused on Python, FastAPI, REST APIs, Azure services, and production-grade engineering.Own backend feature delivery across APIs, business logic, integrations, data persistence, testing, observability, and deployment readiness.Expected to work independently with product, frontend, QA, DevOps, cloud, and stakeholder teams. Required QualificationsStrong hands-on experience with Python backend development, including production-grade API and service development.Strong hands-on experience with FastAPI; Django / Flask experience is acceptable as additional background, but FastAPI should be a primary skill.Proven experience building and supporting REST APIs, service-oriented architectures, microservices, and backend integration layers.Good understanding of authentication, authorization, API security, OAuth / OIDC concepts, managed identity, RBAC, and secure secrets handling.Experience with SQL databases such as PostgreSQL, Azure SQL, SQL Server, MySQL, or equivalent; NoSQL exposure such as Cosmos DB is a plus.Experience with Azure cloud-native application development and deployment using App Services, Functions, API Management, Storage, Key Vault, Application Insights, and related services.Hands-on experience with Git workflows, pull requests, branching strategies, CI/CD pipelines, automated testing, and production release discipline.Strong debugging and problem-solving skills across API, service, database, integration, cloud runtime, and deployment layers.Excellent communication skills and ability to work directly with product managers, architects, frontend engineers, QA, DevOps, cloud engineers, and customer stakeholders.Backend Engineering — Required Primary Focus AreaPython: strong core Python, typing, async programming concepts, packaging, dependency management, reusable modules, and clean code practices.FastAPI: API routing, Pydantic models, dependency injection, middleware, authentication integration, exception handling, OpenAPI / Swagger documentation, and performance-aware API design.API Design: RESTful services, versioning, pagination, filtering, validation, idempotency, error contracts, retry patterns, rate limiting, and backward compatibility.Data Layer: SQL / NoSQL data modeling, SQLAlchemy / ORM usage, migrations, indexing, query optimization, transaction handling, and secure data access.Azure Cloud & Platform Engineering — RequiredHands-on experience deploying and operating Python / FastAPI backend workloads on Azure App Services, Azure Functions, or container-based Azure services.Experience integrating backend applications with Azure API Management, Azure Key Vault, Azure Storage, Azure SQL / PostgreSQL, Cosmos DB, Service Bus, Event Grid, Application Insights, and Log Analytics.Understanding of Azure identity and security patterns including Entra ID / Azure AD, managed identities, service principals, RBAC, and secure configuration management.Experience with CI/CD deployment workflows using Azure DevOps or GitHub Actions, including environment-specific configuration, secrets management, approvals, and release traceability.AI-Assisted Backend Engineering — Required DifferentiatorHands-on usage of Claude AI, GitHub Copilot, or equivalent AI coding assistants for backend development acceleration.Ability to use AI tools for code generation, rapid prototyping, debugging, optimization, test creation, documentation, and backend design exploration.Must-Have Skills SummaryPython Strong hands-on backend development using core Python, clean modular coding, typing, and production-grade service development.FastAPI Primary backend framework skill for API routing, Pydantic models, dependency injection, middleware, OpenAPI, and high-performance APIs.Azure Cloud Practical Azure deployment and troubleshooting exposure for backend services using App Services, Functions, APIM, Key Vault, Storage, SQL / PostgreSQL, and monitoring.Database SQL / NoSQL design, ORM usage, migrations, query optimization, transaction management, and secure data access.