Senior DevOps Engineer (AI)

TL;DR

Senior DevOps Engineer (AI): Building and evolving the reliable, secure, and cost-efficient infrastructure for an AI-native design platform with an accent on Kubernetes, CI/CD optimization, and infrastructure-as-code. Focus on improving developer productivity, strengthening observability, and driving operational excellence across cloud environments.

Location: Must be based in Berlin, Germany (Hybrid role)

Company

hirify.global is an AI-native design platform with millions of users, backed by top-tier investors, building end-to-end creative workflows.

What you will do

• Improve CI/CD reliability and developer productivity by reducing pipeline flakiness.
• Strengthen observability by building actionable dashboards, alerts, and SLOs.
• Manage and evolve the AWS EKS environment for scalable and safe deployments.
• Drive infrastructure-as-code practices using Pulumi and TypeScript.
• Enhance infrastructure security, access management, and secrets handling.
• Optimize infrastructure costs by identifying drivers and improving visibility.

Requirements

• Must be based in Berlin or willing to work from the office.
• At least 5 years of production experience with Kubernetes on AWS (EKS).
• Solid experience with CI/CD systems like GitHub Actions.
• Practical experience with infrastructure-as-code tools like Pulumi or Terraform.
• Strong knowledge of observability tools including metrics, logging, and tracing.
• Understanding of security best practices, IAM, and secrets management.

Culture & Benefits

• Flexible working hours with core hours from 11am–5pm CET.
• Up to 50 days per year of fully remote work from anywhere.
• 30 vacation days per year.
• Learning and development budget for professional growth.
• Monthly BVG public transport ticket coverage.
• Urban Sports Club membership discount.

Hiring process

• Recruiter interview (30 min).
• Two technical interviews (60 min each).
• Interview with CTO (30 min) and cross-functional team interview (30 min).
• Bar raiser interview with Head of Data (45 min).