Senior Python Backend Engineer at Blend360

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

19 May, 26

Salary

0.0

Posted On

18 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Backend Development, AWS, APIs, Microservices, FastAPI, Docker, ECS, Cloud-Native, CI/CD, Git, Scalability, Resilience, Error Handling, Logging, Performance Optimization

Industry

Professional Services

Description

Company Description Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, artificial intelligence, technology, and people. With a mission to fuel bold visions, Blend addresses complex business challenges by seamlessly aligning human expertise with AI-driven solutions. We are dedicated to unlocking value and fostering innovation by combining world-class talent with data-driven strategy. At Blend, we believe that the power of people and AI can create meaningful impact — enabling more fulfilling work and transformative outcomes for our teams and clients alike. For more information, please visit: www.blend360.com Job Description 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. Qualifications 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.

Responsibilities

The role involves designing, developing, and deploying scalable backend applications using microservices architecture primarily in a production-grade AWS environment. Key tasks include building high-performance APIs using Python frameworks, developing robust business logic, and ensuring application scalability and resilience.