Senior backend engineer

9 hours ago

Bangalore, India DIMAAG Full time

Role Summary We are looking for a skilled Senior Backend Engineer with 3–8 years of professional experience in developing scalable web applications and backend services. The ideal candidate will have strong expertise in Fast API, along with experience in database design, CI/CD, and cloud environments. Roles & Responsibilities Design, develop, and maintain scalable backend services and APIs using Fast API. Develop and optimize web applications with a strong focus on performance, reliability, and security. Design and manage relational and No SQL databases (e.g., Postgre SQL, My SQL, Mongo DB). Collaborate with frontend, Dev Ops, product, and data science teams to deliver end-to-end solutions. Integrate machine learning models and background task queues (e.g., Celery, Redis, Rabbit MQ) into production systems. Ensure high code quality through unit and integration testing (e.g., Py Test), peer reviews, and best practices. Troubleshoot and resolve issues in development and production environments. Implement CI/CD pipelines, manage deployments, and work closely with Dev Ops on automation. Write and maintain technical documentation for APIs, services, and system workflows. Required Skills & Qualifications 3–8 years of professional experience in backend/full stack development with Python. Bachelor’s or Master’s degree in Computer science engineering, IT, or related field. Hands-on experience with Fast API (preferred), Flask, and/or Django in production environments. Proficiency in designing and consuming RESTful APIs. Strong database experience with SQL (Postgre SQL, My SQL) and familiarity with No SQL (Mongo DB). Experience with Git/Git Hub, Docker, and CI/CD pipelines. Good understanding of asynchronous programming in Python. Good to Have Experience with Redis, Celery, or other background task queues. Knowledge of Graph QL, Web Sockets, microservices architecture. Familiarity with Kubernetes or other container orchestration tools. Exposure to cloud platforms such as AWS, GCP, or Azure. Familiarity with real time stream processing and AI pipelines Understanding of data science workflows, statistics, or mathematics concepts.

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