
1001 - 5000 employees
Founded 2013
💼 Consulting
🏥 Healthcare
📦 Logistics
💰 Series A on 2019-12
Consulting • Healthcare • Logistics
Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.
🔥 0 minutes ago
🇺🇸 United States – Remote
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 10%
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1001 - 5000 employees
Founded 2013
💼 Consulting
🏥 Healthcare
📦 Logistics
💰 Series A on 2019-12
Consulting • Healthcare • Logistics
Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.
• Lead the design and development of highly scalable, distributed backend services using Python with FastAPI • Develop responsive and engaging user interfaces using ReactJS • Design, implement, and optimize PostgreSQL database schemas and queries • Implement unit and integration tests using Pytest and Vitest, emphasizing TDD principles • Participate in architectural discussions and contribute to technical design decisions for cloud-native applications • Deploy, monitor, and troubleshoot applications in GCP environments, with understanding of multi-cloud principles including AWS • Contribute across the SDLC, from requirements gathering and design through deployment, maintenance, and performance optimization • Collaborate with data scientists and machine learning engineers to integrate AI/ML models and data analytics capabilities • Mentor junior developers and conduct code reviews • Work within agile methodologies using CI/CD pipelines and Git
• 5+ years of hands-on experience in full-stack or backend software development, with a strong focus on building distributed, scalable systems • Expert proficiency in Python, with extensive experience developing high-performance APIs using FastAPI • Strong experience with ReactJS for building modern, component-based user interfaces • Deep expertise in PostgreSQL, including database design, optimization, and advanced querying • Proven experience with unit testing frameworks such as Pytest and Vitest • Solid understanding and practical experience with GCP, including Cloud Run, GKE, Cloud SQL, and Secret Manager • Familiarity with AWS is a significant plus • Demonstrated experience with SDLC principles, agile methodologies, CI/CD pipelines, and version control (Git) • Experience with load testing tools and strategies • Strong understanding of RESTful APIs, microservices architecture, and event-driven design patterns • Experience integrating machine learning, artificial intelligence, or data analytics components into production applications • Excellent problem-solving abilities, attention to detail, and a proactive approach to technical challenges • Exceptional communication, collaboration, and interpersonal skills, with ability to work effectively in cross-functional and global teams • Bachelor’s degree in Computer Science, Engineering, or a related technical field
• Exposure to working with Fortune 500 companies and innovative market disruptors • Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud • Ample opportunities to learn, grow and interact with colleagues from varied experience and backgrounds around the globe • Hybrid work culture • Energetic team environment • Opportunities for professional learning and growth
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