Platform Engineer

Platform Engineer - LinkedIn Job Description

About Us

Keni Engineering is an AI-native DevOps consultancy based in the US, working with software companies that need real infrastructure help. We manage production environments, build CI/CD platforms, and modernize cloud infrastructure for clients across industries. Our team uses AI as a core part of the daily workflow: writing IaC, debugging, auditing, and automating. We're a small, high-output team where your work has direct impact on client outcomes.

What You'll Do

As a Platform Engineer, you'll own and evolve the production infrastructure for one or more assigned clients. Your time splits roughly 80-90% on client work and 10-20% on improving internal tools and processes.

Client work

• 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.

Internal

• 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.

Why This Role Matters

Behind every application that works, there's infrastructure making it possible. Here you don't execute tickets. You own your client's infrastructure with real responsibility. Your work directly impacts the stability and speed at which development teams ship software. And you'll do it with AI as a primary tool, not as an experiment.

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. We're not looking for curiosity. We need someone who already uses AI to write IaC, debug, and document.

Nice to Have

• 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.

How We Work

• Remote-first with occasional client visits when needed.
• GitOps as the operating model: infrastructure is code, changes go through PRs.
• AI as a real work tool. IaC, debugging, documentation, and automation.
• Real ownership: you manage your client's infrastructure, you don't just run tickets.
• Async communication, documentation over meetings.
• US-based clients, international team.