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Tiger Analytics Inc. logo

Senior Cloud Engineer (AWS Microservices)

Tiger Analytics Inc.
Posted May 28, 2026, 2:27 PM UTC
🇺🇸United States🏢Hybrid📁Engineering & Development
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Tiger Analytics is looking for experienced Cloud Engineer to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are looking for a skilled Cloud Engineer with strong AWS expertise to design, build, and support cloud-native applications and microservices. The ideal candidate will have hands-on experience developing primarily in Python (Java acceptable), building and supporting microservices in AWS, and collaborating across full-stack environments including Angular and Node.js applications Key Responsibilities Key Responsibilities Cloud Architecture & Engineering Design, develop, and maintain scalable microservices in AWS (majority C1 microservices environment). Build and deploy cloud-native applications using Python (Java acceptable). Implement secure, highly available, and fault-tolerant solutions in AWS. Support containerized deployments and CI/CD pipelines. Application Development Develop backend services using Python or Java. Work with Node.js for API development and service integrations. Collaborate with frontend teams working in Angular to ensure seamless integration. Build and manage RESTful APIs. Microservices & DevOps Develop and maintain microservices architecture. Participate in code reviews and enforce best practices. Implement logging, monitoring, and performance optimization strategies. Automate infrastructure and deployments using DevOps tools. Collaboration & Support Partner with cross-functional teams including DevOps, UI developers, QA, and Product. Troubleshoot production issues and perform root cause analysis. Continuously improve cloud reliability, scalability, and cost optimization.

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