Python Backend Engineer at Blend360

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

0.0

Posted On

16 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, FastAPI, Microservices, Docker, Kubernetes, Pydantic, CI/CD, API Gateways, Logging, Monitoring, Grafana, Prometheus, Git, API Design, Resilience, Scalability

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 Engineer with extensive experience in FastAPI and microservices architecture to join our dynamic team. The ideal candidate will bring strong technical expertise, proven leadership capabilities, and hands-on experience in building scalable, resilient, and secure applications. Key Responsibilities Lead the design, development, and deployment of applications using microservices architecture. Develop and maintain high-performance, scalable backend services using FastAPI. Implement best practices for logging, monitoring, health checks, scalability, resilience, service discovery, API gateways, and error handling. Ensure code quality, security, and performance optimization. Work with containerization technologies such as Docker and Kubernetes for application deployment. Collaborate with cross-functional teams to define, design, and deliver new features. Establish and manage CI/CD pipelines to enable seamless and automated deployments. Implement API design and security best practices. Set up and maintain monitoring and logging tools (e.g., Prometheus, Grafana). Ensure adherence to version control best practices (e.g., Git) and collaborative development workflows. Qualifications Proven experience leading technical teams and developing applications using microservices architecture. Strong proficiency in Python and FastAPI. Deep understanding of Pydantic for data validation in FastAPI. Hands-on experience with containerization technologies (Docker, Kubernetes). Experience with CI/CD pipelines and automation tools. Strong knowledge of API design principles and implementation best practices. Experience with monitoring and logging tools such as Prometheus and Grafana. Solid understanding of security best practices in microservices-based applications. Nice to Have Experience with retriever models, including implementation of chunking strategies. Familiarity with vector databases and their practical applications. Understanding of optimal approaches for querying LLM models via APIs. Experience with prompt engineering and effective LLM interaction strategies. Exposure to various prompt engineering techniques across different use cases.

Responsibilities

The role involves leading the design, development, and deployment of applications utilizing a microservices architecture, focusing on building high-performance, scalable backend services using FastAPI. Key duties include implementing best practices for resilience, security, monitoring, and managing CI/CD pipelines for automated deployments.