Design, deploy, and operate systems across Azure and AWS, including hybrid and multi‑cloud environments
Evaluate and select cloud services based on cost, usability, scalability, and long‑term maintainability
Implement infrastructure‑as‑code using Terraform, CloudFormation, ARM, or Bicep
Support containerized and cloud‑native architectures (e.g., AKS, EKS, ECS)
Design and optimize relational database schemas and data models supporting both transactional and analytical workloads
Build and integrate data services and pipelines
Collaborate with data scientists and analysts to support analytics, visualization, and ML workflows
Build CI/CD pipelines and DevSecOps automation
Apply Site Reliability Engineering (SRE) practices
Build and maintain observability capabilities
Partner with security and compliance teams
Produce clear technical documentation and operational artifacts
Present technical concepts, findings, and recommendations

Bachelor degree in Engineering, Engineering Technology, Computer Science, Data Science, Mathematics, Physics, Chemistry, or non-US equivalent qualifications
3+ years of experience in full-stack application development or equivalent systems-software integration roles
Strong systems thinking skills with experience designing end-to-end software and system solutions
Proficiency in programming languages (JavaScript/TypeScript, Python, C#, or Go)
Experience deploying and operating applications in Azure and/or AWS environments
2+ years of hands-on experience with infrastructure-as-code (Terraform, CloudFormation, ARM/Bicep)
Experience with relational databases (e.g., PostgreSQL), including schema design and performance considerations
Working knowledge of CI/CD pipelines, Git, Docker, and Linux
Strong communication skills and ability to work across technical and non‑technical stakeholders

Data Platform Engineer

Key skills