We are seeking a highly skilled Senior Python Backend Engineer with strong experience in building scalable backend systems and APIs in AWS cloud environments. The ideal candidate will bring deep technical expertise in Python, hands-on experience with containerized microservices, and a strong understanding of cloud-native architecture.
This role focuses on designing and developing backend services, APIs, and business logic in a production-grade AWS environment.
Key Responsibilities
Design, develop, and deploy scalable backend applications using microservices architecture.
Build and maintain high-performance backend APIs using Python (FastAPI or similar frameworks).
Develop robust backend logic, data processing workflows, and service integrations.
Architect cloud-native solutions within AWS environments.
Containerize applications using Docker and deploy via ECS (or similar AWS container services).
Ensure application scalability, resilience, and performance optimization.
Implement best practices for error handling, logging, and system reliability.
Collaborate with cross-functional teams to design and deliver new features.
Contribute to CI/CD pipelines and automated deployment workflows.
Follow strong version control and collaborative development practices using Git.
Strong hands-on experience in Python backend development.
Experience building and maintaining RESTful APIs (FastAPI preferred, but not mandatory).
Solid understanding of microservices architecture and distributed systems.
Hands-on experience with AWS cloud services (especially ECS, IAM, networking, etc.).
Strong experience with Docker containerization.
Experience building production-ready backend logic and service integrations.
Understanding of API design principles and best practices.
Experience working in CI/CD-driven environments.
Strong debugging, problem-solving, and performance optimization skills.
Nice to Have
Experience working with LLM integrations or AI-powered backend services.
Familiarity with vector databases.
Exposure to retriever models and chunking strategies.
Experience designing scalable AI-driven API services.
Understanding of prompt engineering concepts.
Solid understanding of microservices architecture and distributed systems.
Hands-on experience with AWS cloud services (especially ECS, IAM, networking, etc.).
Strong experience with Docker containerization.
Experience building production-ready backend logic and service integrations.
Understanding of API design principles and best practices.
Experience working in CI/CD-driven environments.
Strong debugging, problem-solving, and performance optimization skills.
BLEND360 is an award-winning, new breed Data Science Consultancy focused on powering exceptional results for our Fortune 500/1000 clients and other major organizations. We are a growing company—born at the intersection of advanced analytics, data, and technology.Who we are:People are everything here at BLEND360. We are inspired by advancing our Client’s most critical initiatives, products and projects by matching our clients with the right talent. BLEND360 has been among the Inc. 5000 fastest growing companies 8 years in a row, and we’re very proud of our World Class NPS score. Our success is a direct result of our passion for advancing the careers of the talented people we work with every day. When you work at BLEND360, you will:Collaborate with a smart, passionate group of people who are invested in your success.Partner with an impressive list of clients, who value Blend360’s services and the world class experience we deliver with every engagement. Thrive with a company and leadership team who are committed to growth.
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Backend Engineer Q&A's