• Support engineering teams by triaging and resolving infrastructure and CI/CD issues • Build automation that eliminates repetitive operational work • Contribute to cloud infrastructure improvements across development, staging, and production environments • Continuously enhance deployment pipelines, monitoring, and infrastructure reliability • Respond to infrastructure and CI/CD-related tickets from engineering teams • Troubleshoot build failures, deployment issues, IAM/permissions problems, networking misconfigurations, and container runtime errors • Assist with debugging issues across cloud environments (dev, staging, prod) • Identify recurring issues and propose automation-based solutions • Contribute to Infrastructure as Code (IaC) using tools like Terraform, Pulumi, or CloudFormation • Improve reusable modules and promote DRY infrastructure patterns • Write automation scripts and tooling in Python, Go, or Bash to eliminate manual processes • Help automate environment provisioning, account setup, and deployment workflows • Support and enhance CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar tools • Improve deployment reliability and rollback processes • Contribute to GitOps-based workflows using tools like ArgoCD or Flux • Support containerized workloads running on Kubernetes (EKS, AKS, GKE, or self-managed clusters) • Assist with namespace configuration, RBAC, and cluster hygiene • Help manage cloud resources across AWS and other major cloud providers • Participate in environment setup and account structuring projects • Assist in implementing and tuning monitoring and alerting systems (Datadog, Cloud-native monitoring tools) • Help reduce alert fatigue through automation and improved signal quality • Contribute to post-incident reviews and identify preventative automation opportunities • Document processes and create internal runbooks • Identify opportunities to automate manual support workflows • Collaborate with senior engineers on platform enhancement projects