Platform Engineer Kubernetes Terraform

Experience and Skills

• 5+ years of experience in platform engineering, DevOps, or Site Reliability Engineering (SRE).
• C1 English level or higher.
• Strong hands-on experience with Kubernetes, containerization, and cloud infrastructure (AWS and/or Azure).
• Deep expertise in Infrastructure as Code (IaC) using Terraform, including module design and CI/CD integration.
• Strong Linux/Unix administration skills with comfort operating primarily via the CLI (bash/zsh, SSH, network diagnostics).
• Practical, daily experience using LLM-based development tools (e.g., Claude Code, Gemini CLI) to accelerate engineering workflows.
• Proven track record of taking complex infrastructure problems from ambiguity to a fully adopted, production-grade platform capability.

Skills

• Kubernetes
• Terraform
• AWS
• Azure
• Linux
• Bash
• Docker
• CI/CD
• LLM Tooling

Projects

We are seeking a Senior AI Infrastructure Platform Engineer to build and scale the next generation of infrastructure platforms. In this role, you will design, implement, and own platform components end-to-end, enabling both development teams and autonomous AI agents to ship products quickly, safely, and cohesively. You will be at the forefront of the shift to AI-native development, creating self-service workflows, robust APIs, and guardrails that scale with compute rather than headcount. As a senior engineer, you will drive real platform adoption and build leverage that compounds across the engineering organization. You will leverage modern LLM tooling in your daily workflow to accelerate platform delivery, ensuring that our infrastructure is highly observable, predictable, and optimized for both human and autonomous agent interactions.

Key Responsibilities

• Own and deliver platform components end-to-end, including Terraform modules, Kubernetes capabilities, cloud patterns, and CI/CD workflows.
• Design and build self-service infrastructure workflows that allow developers and autonomous agents to deploy safely without manual intervention.
• Create highly observable state and feedback loops within the platform to enable self-correction for automated systems.
• Implement robust guardrails, secrets hygiene, and audit trails to maintain security and safety at scale.
• Produce high-quality documentation that serves both human developers and provides context for AI agent operations.
• Drive the adoption of new platform capabilities across engineering teams through excellent developer UX and proactive collaboration.

Nice to Have

• GitOps
• Argo CD
• Flux
• Helm
• OPA
• Conftest
• API Design