- Architect, build, and deploy pilots, prototypes, and proof-of-concept solutions to validate cloud-native innovations across AWS, Azure, and GCP.
- Develop automation, CI/CD pipelines, and infrastructure using IaC tools (e.g., Terraform, CloudFormation).
- Utilize containerization (Docker, Kubernetes) and serverless architectures.
- Ensure transparency, traceability, and security compliance, including Authorization To Operate certifications.
- Collaborate with data engineering, product, and business teams to translate needs into technical solutions.
- Design and implement predictive models, algorithms, and statistical analyses for complex business challenges.
- Build scalable, secure, and cost-effective infrastructure for model development, training, and deployment.
- Perform exploratory data analysis to derive actionable insights from large, complex datasets.
- Develop data management and governance plans.
- Create reusable code libraries, SOPs, and best practices for modernization and automation.
AWSDockerPython+13 more