5 дней назад
AI Platform DevOps Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Platform DevOps Engineer (Azure/LLMOps): Building and operating secure cloud platforms, automation frameworks, and production capabilities for enterprise Generative AI solutions with an accent on infrastructure as code, Kubernetes, CI/CD, and AI service integration. Focus on deploying LLM, RAG, and agent-based systems, establishing observability and evaluation controls, and solving reliability, security, governance, and cost challenges at enterprise scale.
Location: Dublin, Ireland; hybrid workplace
Company
develops consumer brands and is building enterprise capabilities for secure and responsible Generative AI adoption.
What you will do
- Build, automate, secure, and operate cloud platforms for enterprise Generative AI solutions.
- Develop reusable Infrastructure as Code modules, CI/CD and GitOps pipelines, secure runtime patterns, and self-service platform capabilities.
- Support LLM, RAG, agentic AI, enterprise AI API, vector search, and retrieval platforms.
- Establish observability, evaluation, governance, security, compliance, and traceability controls for AI applications.
- Move AI solutions from proof of concept into reliable, scalable production services.
- Collaborate with AI engineers, application and data teams, Security, Privacy, Risk, and Enterprise Architecture.
Requirements
- Strong hands-on cloud engineering and DevOps experience, preferably with Microsoft Azure; AWS or GCP experience is also relevant.
- Advanced practical experience with Terraform, Infrastructure as Code, Python, CI/CD, containers, and Kubernetes.
- Experience operating production cloud environments and solving complex engineering challenges.
- Practical experience deploying AI, LLM, RAG, or agent-based solutions into production.
- Knowledge of Docker, GitOps, REST APIs, FastAPI, and CI/CD tools such as GitHub Actions, Azure DevOps, GitLab, or Jenkins.
- Ability to influence technical direction and improve automation, reliability, and continuous delivery.
Nice to have
- Experience with Azure AI Foundry, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
- Experience with agent frameworks, vector databases, embeddings, retrieval pipelines, and AI evaluation or observability.
- Exposure to multiple public cloud providers and Kubernetes platforms such as AKS, EKS, or GKE.
Culture & Benefits
- Inclusive, values-based culture focused on professional and personal growth.
- Competitive compensation and health and well-being programs.
- Generous 401(k) program in the US and similar programs internationally.
- Flexible work environment depending on the role and location.
- Learning and development opportunities and half-day Fridays depending on location.
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