Lead I – Backend Engineer (MLOps Platform | AWS)

Lead I – Backend Engineer (MLOps Platform | AWS),039

Location:

Hyderabad, India

Work Model:

Hybrid (3 days office)

Experience:

5–7 years

Notice Period:

Immediate to 15 days

Employment Type:

Full-timeRole OverviewWe are seeking an experienced Backend Engineer to design, build, and operate scalable backend systems for an MLOps platform. The ideal candidate has strong expertise in Python-based backend development, cloud-native architectures on AWS, and CI/CD-driven delivery in production environments.Key Responsibilities

• Design, develop, and maintain production-grade backend services using Python
• Build APIs and backend components using modern Python web frameworks
• Deploy and operate services in cloud-based environments (AWS preferred)
• Implement asynchronous and concurrent processing using AsyncIO
• Write unit, integration, and functional tests to ensure high-quality code
• Participate in production support and on-call rotations
• Collaborate with distributed, cross-functional teams including ML, DevOps, and Platform Engineering
• Implement and maintain CI/CD pipelines for automated builds and deployments
  

Mandatory Skills & Experience

• 5+ years of professional experience in backend development using Python
• Strong experience with Flask, Django, or FastAPI
• Hands-on experience with WSGI/ASGI web servers (Gunicorn, Uvicorn, etc.)
• Solid understanding of asynchronous and concurrent programming (AsyncIO)
• Experience with unit and functional testing frameworks
• Hands-on experience with cloud platforms (AWS preferred)
• Strong exposure to CI/CD tools and best practices
• Experience supporting live production systems
• Strong collaboration skills for working with distributed teams
  

Nice-to-Have Skills

• Experience with Apache Kafka and Python-based Kafka clients
• Exposure to MLOps platforms such as AWS SageMaker, Kubeflow, or MLflow
• Experience with big data frameworks, especially Apache Spark
• Familiarity with container orchestration platforms (AWS ECS, AWS EKS)
• Experience with DevOps and Infrastructure-as-Code tools (Terraform, Jenkins)
• Knowledge of Python packaging and distribution tools (Wheel, PEX, Conda)
  

Interview Process

• 2 Technical Rounds
• 1 Final Stakeholder/Client Round
  

Additional Notes

• Strong job stability is mandatory
• Candidates must be willing to work in a hybrid model from Hyderabad
  

Skills: flask,wsgi/asgi web servers,django,python,cloud platforms,fastapi