• Designing, implement, and evolve cloud-native solutions for infrastructure provisioning, configuration management, and deployment pipelines. • Owning production systems end-to-end, including design decisions, implementation, operational reliability, and iterative improvement. • Developing and maintain Infrastructure as Code and Configuration as Code using tools such as Terraform, CloudFormation, and Ansible. • Designing, implementing, optimizing, and own CI/CD pipeline tooling for application and infrastructure deployments using tools such as GitHub Actions or Jenkins. • Designing, implementing, and own high‑quality, maintainable code in a modern language like Python, and author reliable Bash or PowerShell scripts. • Using AI-assisted development tools (e.g., GitHub Copilot) and contribute to internal platforms that enable teams to build and deploy AI-enabled solutions using AWS Bedrock and WatsonX. • Implementing observability, monitoring, and alerting to ensure system reliability, scalability, performance, and cost efficiency. • Embedding security into infrastructure and delivery workflows by applying DevSecOps practices such as least-privilege access, secure defaults, and automated policy enforcement. • Collaborating effectively with application, platform, network, and security teams, clearly communicating requirements, tradeoffs, and design decisions. • Maintaining clear documentation and proactively explore and apply emerging technologies in cloud, DevOps, and AI.