Python Developer

Position – Python Fullstack + Azure + DevOpsLocation: New York OR New Jersey – Remote (but travel when required)Python Fullstack + Azure + DevOpsPython Heavy Full Stack Engineer + Azure + DevOps – AI-Enabled Platform Engineering (Hands-on IC)Product Development, Sustenance, Modernization & Agentic AI infusionTravel: 25% during active client engagementsExperience Level: 10+ yearsAbout the RoleAs a Full Stack, 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 with DevOps experienceIn this role, 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.Key Responsibilities• Engineer and build the end-to-end full stack platform that unifies fragmented workflows into a centralized, scalable, and AI-enabled application experience with Python, Fast API, Django.• Design and implement frontend and backend components, including application shell, UI layers, APIs, and supporting services, ensuring performance, scalability, and production readiness.• Develop and integrate workflow-driven modules such as collaboration interfaces, structured evaluation forms, and exportable artifacts for downstream usage and reuse.• Build and manage integrations with enterprise systems, data pipelines, analytics platforms, and external data artifacts, enabling seamless interaction across structured and unstructured data sources.• Design and implement systems that support AI-assisted workflows, enabling enriched user interactions, intelligent recommendations, and data-driven decision-making capabilities.• Leverage Claude AI extensively as an engineering productivity accelerator—driving faster GTM through rapid prototyping, full stack development, debugging, and system design acceleration.• Establish and scale Claude-driven development practices to enhance developer productivity, reduce delivery cycles, and improve code quality across the engineering lifecycle.• Own full stack technical design and architecture, translating product and workflow requirements into robust, scalable, and maintainable implementations.• Operate as a highly hands-on individual contributor, actively participating in coding, design reviews, and day-to-day engineering execution within an embedded team model.• Ensure high engineering standards across the stack, including code quality, modular architecture, testing rigor, usability, and long-term maintainability.• Drive execution discipline and delivery outcomes, ensuring the platform is production-grade, scalable, and aligned with rapid iteration needs enabled by AI-assisted development.Full Stack Engineering (Required — Primary Focus Area)• 15+ years of software engineering experience, including 5+ years / Senior IC level building large-scale full stack platforms in enterprise environments.• Deep expertise in backend development using Python, fast API, Django 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.• Strong expertise in frontend development using modern frameworks (React ) for building scalable, responsive, and intuitive user interfaces• Proven ability to design and build scalable backend services and microservices architectures with strong modular and domain-driven design principles.• 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.Cloud & Platform Engineering (Required — Primary Focus Area)• Experience building Azure infrastructure for Azure Infrastructure for Agentic Solutions.• 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.•Claude AI–Driven Engineering (Required — Differentiator)• Extensive hands-on usage of Claude AI for software development, including:o Code generation and rapid prototypingo Debugging and optimizationo System design explorationo Documentation and knowledge capture• Demonstrated ability to accelerate GTM timelines using Claude AI, reducing development cycle times while maintaining high quality.• Experience establishing Claude-driven development workflows and best practices within engineering teams.• Ability to balance AI-assisted development with strong engineering judgment, ensuring maintainable, production-grade code.•Engineering Excellence & Delivery (Required)• Strong grounding in engineering best practices: code quality, modular architecture, testing discipline, and maintainability• Excellent problem-solving and system design skills, with the ability to operate independently in high-ownership IC roles• Strong communication skills, including working with product managers and stakeholders to shape technical solutions•Preferred Qualifications• Certifications relevant to full stack and cloud engineering such as Azure Solutions Expert, Azure Developer Associate, along with strong proficiency in Python, .• Demonstrated use of Claude AI (or equivalent AI coding assistants) to accelerate full stack development, driving measurable improvements in engineering productivity and development cycle times.• Experience building enterprise-grade full stack platforms with complex workflows, integrations, and distributed system architectures, ideally in domains such as enterprise SaaS, digital platforms, or financial services.• Exposure to AI-enabled application platforms and workflow-driven systems, including intelligent user interactions, recommendations, or data-assisted decision-making features.• Experience with modern frontend and backend ecosystems (React/Angular with Python) and operating in high-velocity, embedded delivery environments collaborating closely with product teams.