Responsibilities and Impact:

Develop and productionize cloud-based services and full-stack applications utilizing NLP solutions, including GenAI models.
Implement and manage CI/CD pipelines to ensure efficient and reliable software delivery.
Automate cloud infrastructure using Terraform.
Write unit tests, integration tests and performance tests
Work in a team environment using agile practices
Support administration of Data Science experimentation environment including AWS Sagemaker and Nvidia GPU servers
Monitor and optimize application performance and infrastructure costs.
Collaborate with data scientists and other developers to integrate and deploy data science models into production environments
Educate others to improve and coding standards, code quality and test coverage, documentation
Work closely with cross-functional teams to ensure seamless integration and operation of services.

What Were Looking For:

Basic Required Qualifications:

5-8 years of experience in software engineering
Proficiency in Python and JavaScript for full-stack development.
Experience in writing and maintaining high quality code utilizing techniques like unit testing and code reviews
Strong understanding of object-oriented design and programming concepts
Strong experience with AWS cloud services, including EKS, Lambda, and S3.
Knowledge of Docker containers and orchestration tools including Kubernetes
Experience with monitoring, logging, and tracing tools (e.g., Datadog, Kibana, Grafana).
Knowledge of message queues and event-driven architectures (e.g., AWS SQS, Kafka).
Experience with CI/CD pipelines in Azure DevOps and GitHub Actions.

Additional Preferred Qualifications:

Cloud Developer

Senior Full Stack Developer (Python, JavaScript, AWS, Cloud Services)