{"id":2695327,"url":"https://alion.io/job/american-express-software-engineer-i-29","title":"Software Engineer I","company":{"id":2209,"name":"American Express","domain":"americanexpress.com","url":"https://alion.io/company/american-express","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":100,"open_postings":53,"ghost_share":0,"stale_share":0.057,"repost_share":0.189,"time_to_fill_p50_days":7,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":8500,"max_usd":23000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":30},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Django","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"Git","optional":false},{"name":"JavaScript","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Postman","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"React.js","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"VMWare","optional":false},{"name":"Agile","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true},{"name":"MySQL","optional":true},{"name":"PostgreSQL","optional":true},{"name":"RAG","optional":true},{"name":"Swagger","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-10-16T05:35:32Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-16T09:59:02Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"As a Software Engineer - Python, React, AI/ML & Infrastructure, you will be responsible for designing, developing, and delivering scalable, reliable, and intelligent software solutions using Python, React.js, AI/ML technologies, databases, RESTful APIs, and modern system design principles, with exposure to VMware and Nutanix virtualization platforms.\nYou will work across the full application development lifecycle, from understanding business requirements and designing solutions to developing backend services, building intuitive frontend interfaces, integrating AI/ML capabilities, and deploying applications within enterprise infrastructure environments.\nThe scope of this role spans full-stack application development, AI-driven automation, API integrations, database management, and infrastructure-related solutions. You will collaborate with senior engineers, architects, and cross-functional teams to build secure, maintainable, and high-performing applications.\n Design, develop, test, and maintain scalable full-stack applications using Python and React.js.\nBuild robust backend services, automation solutions, and RESTful APIs using Python frameworks such as FastAPI, Flask, or Django.\nDevelop responsive, reusable, and interactive frontend components using React.js, JavaScript, HTML, and CSS.\nImplement and integrate AI/ML capabilities into applications, including predictive models, intelligent automation, and AI-powered workflows.\nWork with relational and NoSQL databases to design schemas, develop queries, manage application data, and optimize database performance.\nDevelop and integrate APIs for seamless communication between frontend applications, backend services, databases, and external systems.\nWork with VMware and/or Nutanix virtualization environments to support application integration, infrastructure automation, and operational workflows.\nApply fundamental system design principles to build modular, scalable, secure, and maintainable software solutions.\nCollaborate with infrastructure, DevOps, and architecture teams to support application deployment, troubleshooting, and performance optimization.\nParticipate in code reviews, debugging, unit testing, and continuous improvement of software development practices.\nContribute to technical documentation, API specifications, and application design discussions.\nLeverage AI-assisted development tools to improve development productivity while maintaining code quality, security, and reliability.\nTechnical Environment\nWe value strong engineering fundamentals, practical development experience, and the ability to work across multiple technologies. Candidates should be comfortable operating in a modern enterprise technology environment with exposure to full-stack development, AI/ML, and infrastructure platforms.\nCore Engineering Stack\nBackend Development: Python, FastAPI, Flask, Django\nFrontend Development: React.js, JavaScript, TypeScript, HTML5, CSS3\nDatabases: PostgreSQL, MySQL, SQL Server, MongoDB\nAPIs and Services: RESTful APIs, JSON, HTTP/HTTPS, API authentication, Swagger/OpenAPI\nSystem Design: Object-Oriented Programming, design patterns, client-server architecture, microservices fundamentals, scalability, and performance optimization\nVirtualization and Infrastructure: VMware vSphere/ESXi, VMware vCenter, Nutanix AHV, Nutanix Prism\nDevelopment Tools: Git, Postman, VS Code, debugging and testing frameworks\nArtificial Intelligence and Machine Learning\nFoundational understanding of machine learning algorithms, data preprocessing, model training, and evaluation.\nExperience with Python-based AI/ML libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.\nExposure to integrating trained ML models or AI services into backend applications.\nUnderstanding of AI-driven automation, predictive analytics, and intelligent application workflows.\nFamiliarity with Generative AI, Large Language Models (LLMs), and AI API integrations is desirable.\nInfrastructure and Virtualization\nUnderstanding of virtualization concepts, virtual machines, hypervisors, and virtual infrastructure management.\nExposure to VMware and/or Nutanix environments, including application deployment and infrastructure integration.\nFamiliarity with infrastructure management APIs such as VMware vCenter APIs or Nutanix Prism APIs.\nBasic understanding of infrastructure monitoring, automation, and troubleshooting using Python.\nAwareness of enterprise infrastructure security, availability, and performance considerations.\nAI-Assisted Development\nFamiliarity with AI-assisted coding tools for development, testing, debugging, and code optimization.\nAbility to use AI tools effectively while maintaining software engineering best practices.\nInterest in exploring AI-driven development workflows and automation opportunities.\nAll applications are expected to follow enterprise engineering standards for security, reliability, maintainability, and performance.\n 1-2 years of professional software development experience, preferably in full-stack or backend application development.\nStrong hands-on programming experience with Python and practical knowledge of frameworks such as FastAPI, Flask, or Django.\nExperience developing web applications using React.js, JavaScript, HTML, and CSS.\nGood understanding of AI/ML fundamentals, with exposure to implementing or integrating machine learning models and AI-powered services.\nExperience working with relational databases, SQL queries, database design, and application-level database integrations.\nUnderstanding of VMware and/or Nutanix virtualization technologies and their role in enterprise infrastructure environments.\nKnowledge of fundamental system design concepts, including modular architecture, scalability, performance, and maintainability.\nHands-on experience developing, consuming, testing, and integrating RESTful APIs.\nStrong understanding of object-oriented programming, data structures, algorithms, and software development best practices.\nFamiliarity with Git, debugging, unit testing, and collaborative development workflows.\nGood analytical and problem-solving skills, with the ability to troubleshoot application and integration issues.\nAbility to collaborate with cross-functional engineering teams and contribute to technical discussions.\nWillingness to learn emerging technologies and adapt to evolving business and technical requirements.\nStrong communication skills and a sense of ownership for assigned development tasks.\nPreferred Qualifications\nBachelor's degree in Computer Science, Information Technology, Engineering, or a related field.\nExperience building full-stack applications using Python, React.js, and relational databases.\nExposure to Generative AI, LLMs, Retrieval-Augmented Generation (RAG), or AI-powered automation.\nExperience with VMware vCenter, Nutanix Prism, or infrastructure automation through APIs.\nFamiliarity with cloud platforms such as AWS, Azure, or GCP.\nUnderstanding of Docker, Kubernetes, CI/CD pipelines, and modern DevOps practices.\nExposure to microservices architecture, distributed systems, and event-driven applications.\nExperience working in enterprise-scale or regulated technology environments.\nFamiliarity with Agile development methodologies and collaborative software delivery.\nDemonstrated ability to deliver reliable, maintainable, and production-ready software 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