Senior DevOps – Platform Engineer, AI Infrastructure

🔥 0 minutes ago

🇩🇪 Germany – Remote

💵 €75k - €85k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 1%

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MAIA

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2021

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

MAIA is a DSGVO-compliant AI-powered platform designed to enhance productivity and knowledge management within businesses. It serves as an intelligent assistant that enables users to efficiently manage, search, and interpret enterprise data while ensuring data privacy and security. Developed by Prodlane GmbH, MAIA offers seamless integration across various departments and supports multiple document formats for comprehensive, quick-response solutions.

📋 Description

• Take technical ownership of MAIA’s production infrastructure • Operate and evolve self-administered Linux systems across virtual machines and dedicated servers • Manage containers, networks, reverse proxies, and API gateways • Improve Infrastructure as Code, GitHub Actions workflows, deployment processes, automated checks, versioning, and rollback capabilities • Operate and improve PostgreSQL in production, including performance analysis, connection pooling, capacity planning, backups, and tested restores • Develop the self-hosted observability stack across metrics, logs, traces, and actionable alerts • Strengthen infrastructure security through IAM, least privilege, secrets management, TLS, vulnerability scanning, and patch management • Implement technical controls for ISO 27001 with continuously generated, understandable, and auditable evidence • Shape AI infrastructure by integrating and evaluating model and inference providers • Explore self-hosted LLM inference, potentially including GPU infrastructure and vLLM • Improve incident response and operational resilience through root-cause investigations, runbooks, documentation, and lasting improvements • Improve internal developer experience by reducing manual work and creating clear interfaces and workflows • Make infrastructure and inference costs transparent and support build, buy, and hosting decisions • Assess the existing platform, identify risks, explain options, and take improvements through reliable production operation • Work closely with software engineers, the CTO, company leadership, and distributed teammates • Serve as the first and initially only dedicated Platform Engineer without people management

🎯 Requirements

• Several years of experience operating production SaaS systems on Linux servers administered directly by you or your team • Experience with Docker and Docker Compose in production • Understanding of reverse proxies or API gateways such as Traefik or Kong • Practical PostgreSQL operations experience, including personally configured and tested backups and restores, performance analysis, and connection pooling • Experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, or comparable systems • Experience managing infrastructure through Terraform, Pulumi, or comparable Infrastructure as Code tooling • Experience operating observability stacks using Grafana, Loki, Prometheus, Sentry, or comparable technologies • Understanding of IAM, least privilege, secrets management, vulnerability scanning, and patching • Ability to design reliable infrastructure that is straightforward for engineers to use • Fluent English • German helpful but not required • Understanding of RAG systems and common production failure modes • Ability to discuss LLM-serving trade-offs involving latency, throughput, reliability, cost, and operational complexity • Close tracking and critical evaluation of models, inference providers, and the GenAI market • Ability to independently operate business-critical production systems • Ability to identify and prioritize infrastructure work without detailed instructions • Ability to lead technical improvements across team boundaries • Reliable written and remote communication • Accountability after changes are deployed • Helpful but not required: experience with Hetzner, NixOS, self-hosted Supabase, ISO 27001 controls and audit evidence, SRE practices, GPU operations, or LLM serving with vLLM

🏖️ Benefits

• A substantial technical area to shape and own in a well-funded, growing AI startup • Direct influence on MAIA’s architecture, reliability, security, and engineering productivity • Opportunity to deepen expertise in AI infrastructure and LLM workload operations • Close collaboration with the engineering team, CTO, and company leadership • Short decision paths and authority to move important infrastructure work forward • Opportunity to participate in the VSOP • Permanent, full-time position • Flexible working hours • Fully remote work from anywhere within Germany • Regular opportunities to meet and work with the team in Leipzig, with travel and accommodation covered • WellPass fitness membership • €75,000–€85,000 gross annual salary, depending on experience and scope