The PGM system, developed and refined in 2024–2025, has been used to create and enhance supply chain models, run probabilistic scenario analyses, and visualize outcomes for various strategic resources under a government-funded program. It offers both a user interface and an API for use by analysts, economists, and data scientists
responsibilities :
Design and maintain multi-region AWS environments using Terraform, ensuring modularity, scalability, and security
Build, optimize, and maintain automated pipelines with GitHub Actions for Python APIs, React frontends, and data processing workloads
Operate and scale containerized workloads using Docker and AWS ECS/Fargate (or EKS)
requirements-expected :
Over 5 years of experience in DevOps and Platform Engineering, with advanced proficiency in Terraform and AWS
In-depth knowledge of AWS services, including EC2, ECS/Fargate, ECR, Lambda, MWAA, S3, DynamoDB, Aurora, and CloudWatch
Strong command of Python, used for automation scripting and supporting FastAPI and Flask environments
Practical, hands-on experience with GitHub Actions, Artifactory, and Docker-based testing environments
Experience working with SQL (PostgreSQL/SQLAlchemy) and familiarity with data-intensive workloads using tools such as Pandas, Spark, and Dask
