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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in operating and optimizing self-administered Linux systems, cloud service integration, and infrastructure management. Proficient in developing CI/CD pipelines, implementing security measures, and managing PostgreSQL in production environments.
Highest-signal resume keywords
Linux System AdministrationCloud Service Integration (AWS, Azure, GCP)Docker and Docker ComposeCI/CD Pipeline Development (GitHub Actions)PostgreSQL Operations
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Infrastructure as CodePerformance AnalysisConnection PoolingBackup and Restore ProceduresTerraformObservability Stack ManagementSecurity FundamentalsAPI Gateway ManagementAutomated Evidence CollectionSRE Practices
Soft Skills
Highly Confident Communication Skills
Tools & Technologies
GrafanaLokiPrometheusTraefikKong
Certifications & Qualifications
ISO 27001 Compliance Knowledge
Industry Keywords
SaaS SystemsLLM ServingGPU OperationsOperational Failure ModesRAG Systems
Tech Stack
Tools & technologiesAWSAzureCloudDockerGoogle Cloud PlatformGrafanaLinuxPostgresPrometheusTerraform
About the role
Key responsibilities & impact- Take technical ownership of infrastructure and operations as the first dedicated Senior DevOps / Platform Engineer
- Evolve the existing platform architecture, automation, and operational standards
- Operate self-administered Linux systems on European VMs and dedicated servers
- Integrate AWS, Azure, and GCP services
- Operate and further develop Docker Compose, networks, reverse proxies, and API gateways
- Develop Infrastructure as Code, CI/CD, and deployment workflows
- Implement automated checks, traceable configurations, and tested rollback procedures
- Take responsibility for PostgreSQL in production
- Analyze and optimize performance, connection pooling, and capacity
- Set up and validate reliable backup and restore procedures
- Further develop the self-hosted observability stack with metrics, logs, traces, and actionable alerting
- Implement least privilege, secrets management, vulnerability scanning, and patch management
- Implement technical measures and automated evidence collection for the ISO 27001 initiative
- Evaluate inference providers and operating models based on latency, throughput, cost, and reliability
- Build and operate an in-house LLM serving environment on GPU infrastructure over time
- Automate recurring operational tasks and document operating procedures
- Systematically investigate incidents and implement lasting improvements
- Collaborate with Engineering and the executive team without people-management responsibilities
Requirements
What you’ll need- Several years of experience operating SaaS systems in production on self-administered Linux servers
- Experience exclusively with fully managed cloud services is not sufficient
- Production experience with Docker and Docker Compose
- Experience with reverse proxies or API gateways such as Traefik or Kong
- Hands-on PostgreSQL operations experience
- Experience setting up and testing backups and restores independently
- Experience with performance analysis and connection pooling
- Infrastructure management with Terraform or comparable tools
- Experience developing CI/CD pipelines with GitHub Actions or similar systems
- Experience operating a self-hosted observability stack, for example with Grafana, Loki, and Prometheus
- Knowledge of security fundamentals for production systems, including permissions, secrets, and security updates
- Basic knowledge of RAG systems and common operational failure modes
- Ability to assess trade-offs between latency, throughput, cost, and operational effort in LLM serving
- Strong personal interest in the development of AI models and providers, along with the ability to critically evaluate their suitability
- Highly confident communication skills in English; German language skills are a plus
- Willingness to work from our Leipzig office at least three days per week with the team
- Nice to have: Hetzner, NixOS, or self-hosted Supabase
- Nice to have: technical measures and evidence for ISO 27001
- Nice to have: SRE practices such as SLOs, error budgets, and incident reviews
- Nice to have: GPU operations and LLM serving, for example with vLLM; production experience with GPUs or inference operations is not required
Benefits
Comp & perks- Gross annual salary of €75,000–€85,000 plus VSOP participation
- Permanent, full-time position
- Flexible working hours
- Hybrid working model with at least three days per week working together from our Leipzig office; mobile working on the remaining days
- Access to a WellPass membership
- Relocation support for moving to Leipzig
- An independent area of technical responsibility with influence on architecture, operational quality, and engineering effectiveness
- Collaboration with Engineering and the executive team
- Opportunity to shape technical standards over the long term
- Opportunity to deepen your experience with AI infrastructure and operating LLM workloads