Infrastructure Engineer (AI)

TL;DR

Infrastructure Engineer (AI): Operating and scaling the cloud infrastructure for an open-source LLM observability platform with an accent on AWS ECS Fargate and ClickHouse Cloud. Focus on automating CI/CD pipelines, optimizing cost efficiency, and ensuring high availability for high-throughput event processing.

Location: Must be based in EU timezones; Hybrid setup expecting one week per month in the Berlin office

Salary: €90K – €160K + Equity

Company

Open source LLM engineering platform (now part of ClickHouse) that helps teams build AI applications via tracing, evaluation, and prompt management.

What you will do

• Own hirify.global Cloud operations on AWS ECS Fargate and ClickHouse Cloud, managing autoscaling, capacity planning, and cost optimization.
• Build and maintain a world-class observability stack using Datadog, including dashboards, alerts, and SLOs.
• Scale and evolve the public self-hosted infrastructure, owning Helm charts and Docker Compose configurations.
• Automate all infrastructure processes, including CI/CD pipelines, IaC, and zero-downtime deployments.
• Harden security and compliance to meet the requirements of large enterprise organizations.
• Collaborate with the ClickHouse team to optimize the core database dependency of the stack.

Requirements

• Strong experience operating production workloads on AWS (ECS/Fargate, networking, IAM, S3).
• Proficiency with container orchestration using Kubernetes, ECS, Docker, and Helm charts.
• Experience with infrastructure-as-code tools such as Terraform or Pulumi.
• Proven ability to build monitoring and observability systems that effectively catch production issues.
• Strong ownership mindset and ability to ship infrastructure changes safely.
• Must be located in an EU timezone.

Nice to have

• Experience with ClickHouse Cloud or other managed analytical databases.
• Background in operating high-throughput event processing or observability infrastructure.
• Contributions to open-source infrastructure tooling.
• Previous experience as a founder.

Culture & Benefits

• High ownership environment where you identify problems, propose RFCs, and ship solutions.
• Maker's schedule with minimal meetings: only a Monday check-in and a Friday demo.
• Strong mentorship culture with a focus on code reviews and collaborative whiteboard sessions.
• AI-first workflow, encouraging the use of AI tooling to maximize efficiency.
• Direct impact and visibility, with features attributed to you in public changelogs.

Hiring process

• Accelerated process designed to go from initial contact to offer letter in less than 7 days.