Hybrid DevOps / Platform Engineer, English

at Simply.TV

• Job title: DevOps / Platform Engineer, English
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: AWS, Cloud, Python, Terraform
• Location requirements: Hybrid, Copenhagen, Denmark

About the role

• DevOps / Platform Engineer managing AI infrastructure and deployment pipelines for Simply.TV. Collaborating in a flat AI team structure to optimize platforms and performance improvements.

Responsibilities

• **The role**
• 6-person AI team led by our Head of AI. Flat. No middle management, no approval chains. You own what you build, and what you build goes to production.
• You own how the AI platform runs. Deployment pipelines, infrastructure, monitoring, scaling, cost. If the team can’t ship because something is slow, broken, or expensive – that’s your problem to solve.
• Build and own CI/CD pipelines for AI workloads
• Manage infrastructure across AWS and GPU clusters
• Own monitoring, alerting, and observability
• Handle scaling, compute allocation, and performance
• Optimize infrastructure costs

Requirements

• **You'll thrive in this role if you have:**
• Production-grade Python.
• Deep AWS experience and infrastructure-as-code. CloudFormation, Terraform, or similar. You design infrastructure, not just configure it.
• CI/CD expertise. You’ve built deployment pipelines for systems that can’t go down.
• Observability mindset. You’ve set up monitoring, alerting, and logging for production systems and you know what to measure.
• Experience with real-world systems – data, storage, APIs, compute. You understand the full stack underneath an application.
• AI/ML infrastructure experience. GPU clusters, model serving, inference at scale. You’ve managed the infrastructure that AI runs on.
• Hybrid cloud experience. On-prem and cloud, or multi-cloud environments.
• **How you think**
• We care about how you solve problems. AI moves too fast for credentials to be the main filter.
• You start by building. When something is unclear, you write code and read docs to figure it out.
• You change your mind when the evidence changes. Ego stays out of technical decisions.
• Dead ends are part of the work. If that frustrates you, this isn’t the right fit.
• You challenge assumptions and propose things nobody else has tried.