• Build and maintain scalable cloud environments (AWS, Azure) for data-driven projects • Automate DevOps processes (GitHub Actions, Azure DevOps, ArgoCD, GitlabCI) • Describe Infrastructure as Code (Terraform, Ansible) • Develop infrastructure for data science and ML workflows (e.g., Databricks, Posit) • Collaborate with cross-functional teams and advise clients on architecture and best practices • Lead documentation efforts and internal technical initiatives • Work on one or more client projects - as consultants, we usually work on one main project at a time, with occasional context switching across client engagements

• Design and maintain Infrastructure as Code using Terraform for multi-environment deployments • Manage and expand ECS clusters and services, implementing container orchestration best practices • Optimize CI/CD pipelines with automated testing, image scanning, and deployment capabilities • Migrate containerized applications to ECS deployments using Docker • Implement monitoring, alerting, and maintain platform reliability • Create operational documentation and runbooks

• Design, build, and operate scalable and high performance cloud infrastructure on AWS • Manage infrastructure as code using Terraform, Terragrunt, and CloudFormation • Build immutable infrastructure with Packer • Develop and maintain CI/CD pipelines using GitLab CI/CD • Operate containerized workloads across: Amazon EKS, Docker on EC2, Singularity (Apptainer) for HPC workloads • Configure systems using Ansible • Design and operate high throughput cloud and HPC storage solutions • Monitor, troubleshoot, and optimize platforms for performance, reliability, and cost • Document architectures and operational best practices

• Work closely with stakeholders from different teams to collect requirements • Design and implement robust solutions for given features • Adhere to and drive modern software engineering practices through design and code reviews • Successfully launch features and improve monitoring where required for features