Key skills
Linux server administrationCI/CD systemsInfrastructure as CodeDockerBash scriptingAdvanced GitSecrets managementAI tools usageKubernetesMonitoring toolsReverse proxiesTerraformCloud experienceBashAIClaudeAWSGCPJenkinsGitHub ActionsGitLab CIAnsibleVaultNGINXTraefikPrometheusGrafanaGitGitHubGitLabGitOpsCI/CDNetwork Security
About this role
Keni Engineering is an AI-native DevOps consultancy based in the US, working with software companies that need real infrastructure help. As a Platform Engineer, you'll own and evolve the production infrastructure for assigned clients, manage CI/CD pipelines, and improve internal tools and processes.
Responsibilities:
- Manage and maintain production infrastructure for assigned clients
- Build, maintain, and improve CI/CD pipelines (GitHub Actions, GitLab CI, Drone CI, Jenkins)
- Operate GitOps deployment workflows: repo changes trigger automated production deployments
- Administer Linux servers (Ubuntu)
- Configure and manage Docker, Docker Compose, and container orchestration
- Set up and maintain reverse proxies (Traefik, Nginx), TLS certificates, and network security
- Monitor services with Prometheus/Grafana and respond to incidents
- Manage secrets with 1Password, HashiCorp Vault, or equivalent
- Provide direct infrastructure support to client development teams
- Create and maintain reusable Terraform modules, Ansible playbooks, pipeline templates, and automation scripts
- Document patterns and procedures that can be reused across clients
- Propose platform improvements and help standardize operations
Requirements:
- 2-5+ years of experience in DevOps, SRE, or platform engineering roles
- Linux server administration (Ubuntu) in production environments
- Docker and Docker Compose in real-world settings
- CI/CD systems: GitHub Actions, GitLab CI, Drone, or Jenkins
- Infrastructure as Code with Terraform, Ansible, or equivalent
- Bash scripting
- Advanced Git and GitOps workflows
- Secrets management (1Password, HashiCorp Vault, or similar)
- Active daily use of AI tools (Claude, Copilot, ChatGPT) as part of your workflow
- Kubernetes experience (though we prefer simplicity over complexity)
- Traefik or other reverse proxies (Nginx, Caddy)
- Monitoring with Prometheus/Grafana/Loki
- Tailscale or WireGuard VPN
- Terraform for cloud provisioning
- Experience with AWS, GCP, or OVH
- Experience managing infrastructure for multiple clients in parallel
- Simplicity mindset: if Docker Compose solves it, don't spin up Kubernetes