

Python Developer (Hybrid)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Developer (Hybrid) in Costa Mesa, CA, with a contract length of "unknown." The pay rate is "unknown." Key skills required include AWS, MLOps platforms, Python, API development, and CI/CD practices. Experience with cloud technologies and monitoring tools is essential.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 25, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Costa Mesa, CA
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π§ - Skills detailed
#Cloud #RDS (Amazon Relational Database Service) #Strategy #AWS (Amazon Web Services) #Kafka (Apache Kafka) #Dynatrace #MLflow #AWS SageMaker #Aurora #Django #S3 (Amazon Simple Storage Service) #Jenkins #Web Services #Monitoring #Logging #Airflow #Lambda (AWS Lambda) #SQS (Simple Queue Service) #Splunk #ML (Machine Learning) #Python #SageMaker #TensorFlow #Microservices #PyTorch #Flask
Role description
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Hi all,
Immediate Closable Position
Please share your resumes at praveen.vasala@veritis.com
Job Title: Python Developer (Hybrid)
Location: Costa Mesa, CA
Required Skills
Β· Amazon Web Services (AWS) Β· Deep understanding of cloud computing technologies and workload transition challenges, knowledge of AWS Well-Architected Framework
Β· Strong experience with MLOps platforms such as AWS Sagemaker, Kubeflow, or MLflow.
Β· Development experience using Python, Flask, Django, AsyncIO, etc.
Β· Experience in monitoring the health of distributed systems and a strategy for error detection and recovery
Β· Systems integration experience, including design and development of APIs, Real-Time Systems, and Microservices
Β· Current cloud technology experience, preferably AWS (EKS, S3, RDS, Lambda, Aurora, ECS-Fargate ...etc.)
Β· Demonstrable familiarity with CI/CD process, testing frameworks, and practices (CodeCommit, CodeDeploy, CodePipeline, Jenkins, Harness, etc.)
Β· Experience integrating with async messaging, logging, or queues, such as Kafka, RabbitMQ, or SQS.
Additional Skills
Β· Experience with monitoring and logging tools - Dynatrace, Splunk etc. Β· Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn. Β· Experience with Kubeflow, MLflow, Airflow, or similar workflow orchestration tools. Β· Building automated and scheduled pipelines for analytical processes.
Regards,
Praveen Vasala
Email ID: praveen.vasala@veritis.com
Contact: +1 (469) 649 1786 Ext: 122