Platform Engineer (AI)

Location: Berlin; on-site

Company

hirify.global builds intelligent systems for the document-focused AI market, with AI at the core of its product.

What you will do

• Design and own the architecture, shared primitives, libraries, and APIs that form the product platform.
• Build secure, reliable, and scalable golden paths for product engineers and their AI agents.
• Provision and operate Kubernetes, cloud infrastructure, infrastructure-as-code, CI, dashboards, and alerting.
• Define SLIs and SLOs, improve observability, and reduce AI and infrastructure costs.
• Own authentication, authorization, IAM, secrets, dependency management, ReBAC, and security compliance controls.
• Develop agent tooling, configuration systems, workflow tracking, tenant billing, document pipelines, and background-job infrastructure.

Requirements

• End-to-end experience designing, building, and operating distributed systems in production.
• Strong backend software engineering experience combined with DevOps/SRE expertise.
• Experience scaling PostgreSQL or another relational transactional database under real load.
• Production Kubernetes experience and hands-on observability work, including SLIs, SLOs, and distributed tracing.
• Ability to write and defend design documents, RFCs, ADRs, and postmortems.
• Ability to work primarily in application code while shaping an evolving platform.

Nice to have

• Experience with Temporal, durable workflow orchestration, background jobs, or queue processing.
• Experience building infrastructure for LLM products or agentic systems.
• Experience in audit, finance, compliance, or another high-accuracy domain.
• Experience with Azure and/or GCP.

Culture & Benefits

• Face-to-face collaboration with experienced founders and direct exposure to customer insights.
• High autonomy and meaningful influence on product strategy in a small engineering and operations team.
• Fast decision-making, rapid experimentation, and a preference for practical guardrails over process-heavy controls.
• Meaningful equity and competitive salary.
• Opportunity to shape the platform and product foundations at an early-stage AI company.