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

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:

• Experience writing front-end web applications using Javascript and React
• Familiarity with infrastructure as code (IaC) using Terraform.
• Experience in Azure or GPC cloud services
• Proficiency in C# or Java
• Experience with SQL and NoSQL databases
• Knowledge of Machine Learning concepts
• Experience with Large Language Models