Senior DevOps – Platform Engineer, AI Infrastructure

MAIA

. Take technical ownership of MAIA’s production infrastructure .

Posted 10/12/2026full-timeRemote • GermanySenior💰 €75,000 - €85,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing production infrastructure, particularly with Linux systems, Docker, and PostgreSQL, while implementing Infrastructure as Code practices and ensuring security compliance. Capable of improving observability and incident response processes, fostering collaboration with engineering teams, and independently operating critical systems.

Highest-signal resume keywords

Linux Server AdministrationDocker and Docker ComposePostgreSQL OperationsInfrastructure as Code (Terraform, Pulumi)CI/CD Pipeline Management (GitHub Actions)

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Linux Server AdministrationPostgreSQL OperationsInfrastructure as CodeCI/CD Pipeline ManagementContainer ManagementObservability Stack OperationsAPI Gateway ManagementPerformance AnalysisVulnerability ScanningRoot-Cause Investigation

Soft Skills

Reliable CommunicationAccountabilityIndependent Problem-SolvingCollaborationTechnical Leadership

Tools & Technologies

DockerGitHub ActionsTerraformGrafanaPrometheusSentryTraefikKongLokiVLLM

Certifications & Qualifications

ISO 27001 Compliance

Industry Keywords

SaaS SystemsInfrastructure SecurityIAMLeast PrivilegeSecrets ManagementObservabilityRAG SystemsGenAI MarketSRE PracticesGPU Operations

Tech Stack

Tools & technologies

DockerGrafanaLinuxPostgresPrometheusTerraform

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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