12 часов назад
Senior DevOps Engineer (AI)
90 000 - 110 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior DevOps Engineer (AI): Designing and operating secure, scalable, observable production infrastructure for AI workloads and LLM/agent orchestration with an accent on Kubernetes, cloud-agnostic environments, CI/CD, and infrastructure as code. Focus on defining reliability standards, improving deployment velocity, optimizing inference capacity and costs, and mentoring a DevOps team.
Location: Hybrid in Madrid, Spain or Lisbon, Portugal; travel may be required.
Salary: €90,000–€110,000 per year plus performance bonuses.
Company
is building an AI engineering platform for demanding workloads, including LLM and agent orchestration.
What you will do
- Architect and evolve production infrastructure covering networking, compute, storage, Kubernetes, and CI/CD.
- Build and operate cloud-agnostic Kubernetes environments across VPC, on-premises, and hybrid deployments.
- Implement GitOps-oriented CI/CD pipelines and infrastructure-as-code using Terraform, Pulumi, or CloudFormation.
- Establish reliability practices including SLOs, SLIs, incident response, on-call processes, runbooks, postmortems, and observability.
- Own security fundamentals, developer productivity tooling, self-service environments, cost optimization, and capacity planning for AI workloads.
- Mentor and grow a small DevOps/SRE team while collaborating with AI Engineering, Backend Engineering, and Product.
Requirements
- At least 5 years of experience in DevOps, SRE, Platform Engineering, or Infrastructure roles.
- Production operations experience with reliability engineering and incident management.
- Strong Linux, networking, cloud infrastructure, Docker, and Kubernetes expertise.
- Experience building CI/CD pipelines for microservices and infrastructure.
- Proficiency with Terraform, Pulumi, or CloudFormation, plus strong scripting or coding skills in Python, Bash, Go, or similar.
- Experience with observability stacks and at least one major cloud provider: AWS, GCP, or Azure.
Nice to have
- Experience with service mesh, API gateways, or ingress at scale.
- Familiarity with GDPR, ISO 27001, SOC 2 readiness, or related security and compliance practices.
- Experience with GPU clusters, high-throughput compute, MLOps, or LLM serving infrastructure.
- Previous experience leading or mentoring engineers.
Culture & Benefits
- Permanent full-time employment with a flexible hybrid work setup.
- Private health insurance and 23 days of paid time off, excluding local public holidays.
- Performance bonuses and access to an equity/share plan as it rolls out.
- Builder-oriented environment focused on impact, quality, ownership, and growth.
Hiring process
- Introductory 30-minute call.
- Practical DevOps/SRE design or automation challenge.
- Technical interview covering architecture, reliability, security, and delivery, followed by a leadership and values interview.
- Most candidates complete the process within 2–3 weeks.
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