Description

You will design and implement complex architectural solutions to address customer business problems using cloud principles.

Responsibilities

• Design and implement scalable, reliable, and cost-efficient ML pipelines using Python and AWS services.
• Lead technical design reviews and guide engineering teams on architectural best practices.
• Determine code quality and test coverage; design and implement tests for high-quality software.
• Perform proof of concept work for integrating new technologies into the existing product.
• Collaborate with the product team to analyze business requirements and participate in code reviews.

Required Skills

• 8+ years of experience in key engineering roles (technical lead, software engineer, software architect).
• 5+ years of experience architecting and deploying cloud-native solutions with AWS.
• Hands-on development using Python, Flask, Django, and AsyncIO.
• Deep understanding of distributed systems, integration, testing, and troubleshooting.
• Demonstrated familiarity with CI/CD processes and tools.
• Experience with AWS SageMaker, Kubeflow, or MLflow.
• Familiarity with AWS services including S3, Lambda, ECS, and RDS.
• Experience integrating with async messaging/logging/queues like Kafka or SQS.
• Strong knowledge of software development processes and project management methodologies.

Key Skills

Education

Any Graduate