MLOps Engineer

Relocation support is available to our hubs in Armenia, Georgia, Serbia, and Spain, including flights, temporary accommodation, and legal setup.

Key Skills and Responsibilities

LLM Serving & Model Management:

• Deep expertise in high-throughput serving using vLLM, NVIDIA TensorRT-LLM, and sglang to minimize latency and maximize hardware efficiency.

• Hands-on experience deploying and optimizing large-scale open-weights models, specifically DeepSeek 3.1/3.2, Qwen, and GPT-OSS variants.

• Advanced optimization and security hardening of Docker specifically for GPU environments.

• Managing model weights and orchestration within Kubernetes (GKE) environments.

• Real-Time Data Engineering & CDC:

• Designing and maintaining high-throughput CDC (Change Data Capture) pipelines using the Apache ecosystem (e.g., Debezium, Kafka) to sync data from Cloud PostgreSQL.

• Deploying and tuning ClickHouse for real-time analytics, ML feature storage, and high-speed logging.

• Orchestrating complex ML data workflows using Airflow (Google Cloud Composer) to ensure data reliability. Must

Core Infrastructure & Networking:

• Strong Linux systems expertise including internals, networking, and performance tuning for large-scale distributed systems.

• Experience with Istio service mesh to manage microservices communication and traffic.

• Provisioning and maintaining dedicated GPU nodes (A100/H100/H200/B200), including driver management and OS-level tuning using Ansible.

• Solid Kubernetes expertise: controllers, CRDs, CNI, and Ingress.

• CI/CD & Tooling:

•  Implementing pipelines as code within GitLab CI, managing runners, caching, and security scanning.

• Infrastructure as Code with Terraform and Terragrunt.

• Proficiency in  Python/Bash for building custom automation and AI Agent tooling.

Load Testing & Observability:

• Conducting rigorous load testing for GenAI applications, focusing on metrics like TTFT, TPS, and RPS.

• Deploying and managing LiteLLM Gateway for unified API access, load balancing, and cost tracking.

• Experience with Datadog for monitoring GPU utilization, inference health, and log pipelines.

Soft Skills:

• Strong ownership mindset: balancing speed, reliability, and cost.

• Comfortable working cross-functionally with developers, security, and compliance.

• Excellent sense of responsibility and accountability.

• English B2 or higher.

Nice to Have:

Experience with PCI-DSS, SOC2, or regulations compliance environments.

Our Tech Stack: Linux, Docker, Kubernetes, GCP (GKE, Cloud PostgreSQL), Datadog, GitLab, Apache CDC, ClickHouse, Airflow, Istio, Terraform, Terragrunt, Ansible, vLLM, TensorRT-LLM, sglang, LiteLLM, DeepSeek, Qwen, Go, Python

What we offer

• Full-time B2B contract

• Fully remote setup, work from anywhere in Europe

• Up to 20% tax allowance

• 22 paid leave days annually

• Stock options (ESOP) in a fast-scaling, pre-IPO company

• Flexi benefits you can use for wellness, travel, or learning

• Work alongside a high-performing, international engineering team in a global fintech unicorn