Senior Backend Engineer (Python)

DIMAAG; Bengaluru Urban; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

DIMAAG in Bengaluru is looking for a Senior Backend Engineer to design and build scalable, cloud-native SaaS backends. You will work with product, frontend, DevOps, and AI teams to deliver high-performance backend systems capable of supporting enterprise-scale workloads.

You should have 3–8 years of Python experience, strong FastAPI skills, and solid database knowledge (PostgreSQL/MySQL, MongoDB). Docker and Kubernetes experience, RESTful APIs, JWT/OAuth, and CI/CD practices are essential.

Qualifications

• 3–8 years backend Python experience.
• BE/BTech/MTech in CS/IT or related field.
• Production experience with FastAPI (preferred) or Flask/Django.
• Strong PostgreSQL/MySQL design, indexing, queries, transactions.
• NoSQL knowledge with MongoDB or similar.
• Docker + Kubernetes for deployment/orchestration.
• RESTful API design, authentication (JWT/OAuth), API security.
• Git, GitHub, and modern CI/CD pipelines.
• Asynchronous programming in Python.

Responsibilities

• Design, develop, and maintain high-performance backend services and APIs with FastAPI.
• Architect scalable multi-tenant SaaS backends with high availability and security.
• Optimize relational and NoSQL databases, indexing and queries.
• Build containerized apps with Docker; deploy on Kubernetes.
• Collaborate with DevOps to automate CI/CD pipelines and deployments.
• Integrate ML models, background queues (Celery, Redis, RabbitMQ, Kafka) and external APIs.
• Promote code quality via tests (PyTest), reviews, and best practices.
• Troubleshoot in dev/prod and contribute to architecture decisions.
• Create technical docs for APIs, architecture, and deployments.

Skills

Python

Backend development

REST APIs

Asynchronous programming

CI/CD

Code reviews

Education

BE/BTech/MTech in CS/IT

Tools

FastAPI

Docker

Kubernetes

PostgreSQL

MySQL

MongoDB

Git

GitHub

PyTest

Celery

RabbitMQ

Kafka

Job description

Role Summary

We are looking for a highly skilled Senior Backend Engineer with 3–8 years of experience building scalable, cloud-native SaaS applications. The ideal candidate has deep expertise in Python and FastAPI, strong knowledge of database architecture and performance optimization, and hands-on experience deploying and managing applications on Kubernetes. You will work closely with product, frontend, DevOps, and AI teams to build secure, high-performance backend systems capable of supporting enterprise-scale workloads.

• Design, develop, and maintain high-performance scalable backend services and APIs using FastAPI.
• Architect and build scalable backend systems for multi-tenant SaaS platforms, ensuring high availability, security, and reliability.
• Design, optimize, and maintain relational and NoSQL databases with a strong focus on schema design, indexing, query optimization, transactions, and performance tuning.
• Develop containerized applications using Docker and deploy them on Kubernetes environments.
• Collaborate with DevOps teams to build and maintain CI/CD pipelines and automate deployments.
• Integrate machine learning models and background task queues (Celery, Redis, RabbitMQ, Kafka), and external APIs into production systems.
• Ensure high code quality through unit and integration testing (e.g., PyTest), peer reviews, and best practices.
• Troubleshoot and resolve issues in development and production environments.
• Participate in architecture discussions, code reviews, and technical design decisions.
• Create and maintain technical documentation for APIs, system architecture, and deployment processes.

Required Skills & Qualifications

• 3–8 years of backend software development experience using Python.
• B.E /B.Tech / M.Tech degree in Computer Science, Information Technology, or a related field.
• Hands-on experience with FastAPI (preferred), Flask, and/or Django in production environments.
• Strong expertise in PostgreSQL/MySQL, including database design, indexing, query optimization, transactions, and performance tuning.
• Working knowledge of MongoDB or other NoSQL databases.
• Hands-on experience with Docker and Kubernetes for containerized application deployment and orchestration.
• Strong understanding of RESTful API design, authentication (JWT/OAuth), and API security best practices.
• Experience with Git, GitHub, and modern CI/CD pipelines.
• Good understanding of asynchronous programming and concurrent processing in Python.

Preferred Skills

• Experience with microservices architecture and distributed systems.
• Hands-on experience with Redis, Celery, RabbitMQ, Kafka, or other messaging/streaming technologies.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Familiarity with GraphQL, WebSockets, and real-time data processing.
• Familiarity with real time stream processing and AI pipelines
• Understanding of data science workflows, statistics, or mathematics concepts.
• Knowledge of observability tools, logging, monitoring, and application performance optimization.