Senior AI DevOps, LLMOps

🕒 June 19

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 52%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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TechBiz Global

WebsiteLinkedInAll Job Openings

51 - 200 employees

📣 Marketing

📦 Logistics

🎯 Recruiter

Marketing • Logistics • Recruitment

TechBiz Global is a leading recruitment and software development company that specializes in connecting businesses with top-tier talent across 28+ countries. They serve clients from startups to major enterprises, providing expertise in hiring key roles in industries such as FinTech. In addition to talent acquisition, TechBiz Global offers comprehensive software development services to turn clients' visions into reality, powering digital transformations with expert engineers. The company also provides strategic CTO consulting services and flexible outstaffing and outsourcing solutions, helping businesses manage growth and optimize technology processes. Recognized as a top IT recruitment and consulting firm, TechBiz Global is dedicated to delivering personalized and innovative solutions to its clients, ensuring they have the tools necessary for success.

📋 Description

• Automation of Build-to-Production - Design and implement robust CI/CD pipelines tailored for AI • Develop specialized workflows for PromptOps • Automate the deployment of Agentic workflows • Provision and manage high-performance compute environments (GPU clusters, TPU pods) • Define and enforce Policy-as-Code for AI endpoints • Maintain a consistent environment across Hybrid Infrastructure • Architect Progressive Delivery strategies for AI • Build 'Evaluation-in-the-Loop' gates within the pipeline • Establish deep observability into Inference Endpoints

🎯 Requirements

• 10+ years in DevOps, SRE, or Cloud Engineering • 2+ years of hands-on experience in MLOps or LLMOps • Advanced Kubernetes (K8s) skills, specifically with KubeFlow, Ray, or NVIDIA Triton • Expertise in GitHub Actions/GitLab CI, and Terraform or Pulumi • Experience with Weights & Biases, MLflow, LangSmith, or Arize Phoenix • Understanding of GPU virtualization, CUDA drivers, and on-premises hardware management • Familiarity with Open Policy Agent (OPA) and secret management (Vault)

🏖️ Benefits

• Health insurance • Flexible working arrangements • Professional development opportunities

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