Python Developer - Microservices Architecture
First seen by Alion on Aug 13, 2026.
Python, MLOps & AWS Developer
Position Details:
Position: Python, MLOps & AWS Developer
Location: Hyderabad
Relocation: Pan India candidates willing to relocate may apply
Notice Period: Immediate to 30 days
Work Mode: Hybrid 2 days per week from client office
Role Overview:
We are looking for an experienced Python, MLOps & AWS Developer with strong expertise in cloud-native application development, MLOps platforms, distributed systems and microservices. The ideal candidate should have hands-on experience designing and deploying scalable, secure and reliable solutions on AWS and should be comfortable working across Python development, cloud infrastructure, MLOps pipelines and system integration.
Key Responsibilities:
- Design, develop and deploy scalable cloud-native applications using Python and AWS.
- Architect reliable, secure and cost-effective solutions following AWS best practices.
- Develop and maintain MLOps platforms and machine learning workflows.
- Build APIs, microservices and real-time applications.
- Work with distributed systems, system integration, testing and troubleshooting.
- Design monitoring, logging, error detection and recovery strategies.
- Develop and maintain CI/CD pipelines and automated deployment processes.
- Integrate applications with messaging and queueing systems.
- Collaborate with globally distributed engineering and cross-functional teams.
- Contribute to technical architecture, design discussions and engineering best practices.
- Mentor team members and help establish processes and development standards.
Required Skills & Experience:
- 612 years of overall software engineering experience; preferably 8+ years.
- 5+ years of hands-on experience with Amazon Web Services (AWS).
- Strong experience architecting and deploying scalable, secure and cost-effective cloud-native solutions.
- Strong understanding of the AWS Well-Architected Framework and cloud migration/workload transition challenges.
- Hands-on experience with Python.
- Experience with Flask, Django, AsyncIO or similar Python frameworks.
- Strong MLOps experience with AWS SageMaker, Kubeflow or MLflow.
- Experience with distributed applications, APIs and microservices.
- Experience with AWS services such as:
1. EKS
2. S3
3. RDS
4. Lambda
5. Aurora
6. ECS/Fargate
- Experience with CI/CD tools such as Jenkins, CodeCommit, CodeDeploy, CodePipeline or Harness.
- Experience with Kafka, RabbitMQ, SQS or similar asynchronous messaging systems.
- Strong understanding of software development processes and Agile/Scrum methodologies.
- Strong problem-solving, analytical and communication skills.
- Ability to work effectively with globally distributed teams.
Nice to Have :
- Experience with Dynatrace, Splunk or other monitoring/logging tools.
- Experience with TensorFlow, PyTorch or Scikit-learn.
- Experience with Kubeflow, MLflow or Airflow.
- Experience building automated and scheduled ML/analytical pipelines.
- Experience establishing new engineering processes and best practices.
Education :
- BE/B.Tech/MCA or any relevant postgraduate qualification preferred.
Ideal Candidate :
- Candidates who can join immediately or within 30 days will be preferred.
Skills
Python, AWS, MLOps, Microservices Architecture, Tensorflow, DynaTrace