Backend Engineer

Role Overview

We are seeking a skilled Backend Engineer to design, build, and operate scalable backend services for an MLOps platform running on AWS. The ideal candidate has strong Python expertise, experience with cloud-native systems, and a solid understanding of asynchronous programming and production operations.

Experience



5+ years of professional experience in backend web development using Python


Proven experience building and operating production-grade backend systems


Experience working in cloud-based environments, preferably AWS




Key Responsibilities


Design, develop, and maintain scalable backend services using Python


Build APIs using frameworks such as Flask, Django, or FastAPI


Implement and manage asynchronous and concurrent processing using AsyncIO


Deploy and operate services using WSGI/ASGI servers (Gunicorn, Uvicorn)


Collaborate with ML and platform teams to support MLOps workflows


Write unit, integration, and functional tests to ensure system reliability


Participate in CI/CD pipelines and release automation


Monitor, troubleshoot, and support production systems


Participate in on-call rotations and incident response


Work effectively with distributed, cross-functional teams



Mandatory Skills


Strong proficiency in Python


Experience with Flask / Django / FastAPI


Experience with Gunicorn, Uvicorn, or similar servers


Solid understanding of asynchronous & concurrent programming


Experience with unit and functional testing frameworks


Experience with at least one public cloud platform (AWS preferred)


Hands-on experience with CI/CD tools and practices


Strong communication and collaboration skills



Good-to-Have Skills


Experience with Apache Kafka and Python Kafka clients


Experience with MLOps platforms (AWS SageMaker, Kubeflow, MLflow)


Experience with Big Data frameworks, especially Apache Spark


Experience with container orchestration (AWS ECS, AWS EKS)


Experience with DevOps & IaC tools (Terraform, Jenkins)


Knowledge of Python packaging & distribution (Wheel, PEX, Conda)



Skills

Python, AWS, Backend Development, Asynchronous Programming, CI/CD, MLOps, Cloud Platforms, Pipelines