DataOps Engineer (AI Platform Engineer)

TL;DR

DataOps Engineer (AI Platform Engineer): Designing and operating an on-prem AI platform for deploying and scaling models with an accent on multi-node GPU clusters and Kubernetes infrastructure. Focus on building reliable model serving runtimes, optimizing GPU utilization, and automating the model lifecycle via CI/CD pipelines.

Location: Must be based in Limassol, Cyprus. Full relocation support for the employee and their family is provided.

Company

A leading global trading broker specializing in high-scale fintech solutions for over a million clients worldwide.

What you will do

• Collaborate with infrastructure teams to configure GPU servers, high-performance networking, and RDMA-enabled clusters.
• Manage GPU MIG configurations and ensure scalable GPU operations and scheduling within Kubernetes.
• Deploy and maintain model serving runtimes such as vLLM, ONNX, SGLang, Nvidia Triton, and KServe.
• Build CI/CD pipelines and platform tooling for model packaging, versioning, and registry systems using MLflow.
• Enable infrastructure and workflows for model fine-tuning (e.g., LoRA), focusing on scalability and automation.
• Implement comprehensive observability and tracing for GPU clusters and model inference workflows.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 5+ years of experience in infrastructure, platform engineering, or distributed systems, preferably with GPU workloads.
• Strong expertise in Kubernetes and Linux-based environments.
• Proficiency in Python and/or Go.
• Experience with GPU infrastructure (NVIDIA/AMD) and model serving/inference systems.
• Advanced English proficiency for business and technical communication.

Nice to have

• Familiarity with networking concepts relevant to distributed systems, such as RDMA.

Culture & Benefits

• Competitive salary and annual performance bonus.
• Full relocation support including flights, housing, visas, and legal assistance.
• Top-tier health insurance with full family coverage (medical, dental, vision, mental health) and life insurance.
• Unlimited learning opportunities, English lessons, and education allowances for school and kindergarten fees.
• 21 working days of annual leave plus public holidays and paid sick/parental leave.
• Exclusive perks: Branded MINI Cooper company car, private parking, in-house sports clubs, and jet skis.

Hiring process

• Intro call with Recruiter (30 minutes).
• English language check (if needed).
• Technical interview (90 minutes).
• Behavioural interview (60 minutes).