Senior Full Stack Engineer (React + Python)
Fractal Analytics4 days ago
Noida, India +6 moreSenior
Responsibilities
- Develop and maintain robust, scalable, and maintainable full-stack applications and critical product features.
- Design and implement front-end experiences, back-end services, APIs, integrations, cloud-native services, and AI-powered application capabilities.
- Build AI features including copilots, intelligent assistants, summarization, search, recommendations, RAG, prompt orchestration, structured outputs, tool calling, and guardrails.
- Participate in system and solution design, translating architecture intent into production-ready implementation plans and code.
- Improve code quality through reviews, engineering standards, automated testing, secure development practices, and reusable components.
- Support DevOps practices including build pipelines, CI/CD workflows, release readiness, observability, monitoring, and troubleshooting.
- Optimize application, system, and AI feature performance, reliability, latency, cost, and operational quality.
- Document technical designs, implementation decisions, and operational considerations.
- Mentor junior engineers and contribute to technical proposals, estimates, reusable assets, automation, refactoring, and capability improvement.
- Collaborate with architects, TPMs, product, platform, QA, DevOps, design, and client-facing teams.
Requirements
- 6+ years of hands-on experience building enterprise-grade full-stack applications and owning complex engineering workstreams from design through delivery.
- Strong expertise in a modern front-end framework such as React, Angular, or Vue, with JavaScript or TypeScript, HTML5, and CSS3.
- Strong back-end engineering experience with Python and a framework such as FastAPI, Django, or Flask.
- Knowledge of system design, design patterns, API design, scalability, reliability, performance optimization, and distributed application architecture.
- Experience with relational or NoSQL databases such as MySQL, PostgreSQL, SQL Server, or MongoDB, including schema design and query tuning.
- Experience building and consuming REST APIs and implementing service and external-system integrations.
- Understanding of responsive web design, component-based architecture, accessibility, and front-end performance optimization.
- Experience with unit, integration, and end-to-end testing using Jest, PyTest, Playwright, Cypress, or equivalent tools.
- Experience with Azure, AWS, or GCP, including deployment, configuration, observability, and cloud-native support.
- Experience with Docker, Kubernetes, or equivalent container platforms.
- Strong understanding of DevOps and secure SDLC practices, including CI/CD, source control, code reviews, build automation, and release controls.
- Experience integrating AI capabilities using LLM APIs, prompt design, structured outputs, tool or function calling, RAG, vector search, grounding, evaluations, monitoring, and guardrails.
- Strong troubleshooting, debugging, collaboration, communication, and implementation-planning skills.
- Experience mentoring junior engineers and contributing to engineering best practices and continuous improvement.
- Preferred qualifications include Agile delivery experience, performance tuning, observability, logging, monitoring, caching, reliability practices, reusable frameworks, technical proposals, client-facing workshops, AI engineering frameworks, LLMOps or MLOps, copilots, agentic workflows, recommendation systems, or enterprise GenAI solutions.
Benefits
- The posting emphasizes a collaborative environment with cross-functional and client-facing work.
- The company describes its culture as passionate, growth-oriented, and composed of happy, enthusiastic over-achievers.
Tech Stack
AngularAWSAzureCypressDjangoDockerFastAPIFlaskGoogle Cloud PlatformJavaScriptJestKubernetesMicrosoft SQL ServerMongoDBMySQLPostgreSQLpytestPythonReactTypeScriptVue.js
Categories
About Fractal Analytics
Fractal builds enterprise AI and analytics solutions—delivered as consulting services and software products—for large global enterprises, especially Fortune 500 firms. Its teams embed AI in decisions across marketing, pricing, supply chain, forecasting, and customer experience. Founded in 2000 and headquartered in New York, Fractal is publicly listed and operates across North America, EMEA, and APAC.