Senior MLOps/Backend Developer

Summary

Join Wargaming's AI Center of Excellence as an MLOps or Backend Engineer to build a scalable Generative AI platform. You will develop and maintain MLOps pipelines, design backend services, build RAG pipelines, integrate LLMs and ML models into game services, and maintain production infrastructure. The ideal candidate has 3–5 years of experience, strong Python or Golang skills, and experience with Kubernetes, Docker, and CI/CD. The role requires a deep understanding of API and microservice architecture and experience with RAG architectures and vector databases. The position offers a hybrid/remote work mode within the European time zone and various benefits.

Requirements

• 3–5 years of experience as an MLOps or Backend Engineer
• Strong knowledge of Python or Golang
• Hands-on experience with Kubernetes, Docker, Terraform, and CI/CD tools
• Deep understanding of API and microservice architecture for high-load systems
• Experience with RAG architectures, vector databases, LangChain or LlamaIndex
• Familiarity with observability and DevOps practices (e.g., Prometheus, Grafana)
• Upper-Intermediate English or higher (written and spoken)

Responsibilities

• Develop and maintain MLOps pipelines, including CI/CD, batch inference, and data ingestion
• Design and implement backend services: APIs, microservices, gateways, and middleware
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain, FAISS, or Qdrant
• Integrate LLMs and ML models into game services (chat, asset generation, video, analytics)
• Maintain and scale production infrastructure based on Kubernetes, Docker, and AWS or GCP
• Ensure platform reliability and performance through observability, automation, and infrastructure as code
• Optimize real-time inference pipelines for latency and resource efficiency
• Collaborate closely with ML engineers, backend developers, and game teams

Preferred Qualifications

• Experience in game development or multimedia applications
• Knowledge of MLflow, Kubeflow, or SageMaker
• Proven track record of deploying AI services at scale
• Advanced Russian would be a plus

Benefits

• Additional paid time off (5 Personal Days, Birthday Leave) on top of the statutory minimum
• Sick Leave 100% Compensation (10 days per calendar year)
• Career development and education opportunities within the company
• Premium Private Health Care
• Mental well-being program (iFeel)
• Multisport card
• Personal Gaming Account
• Company events
• Seniority Awards
• Referral program - you can recommend the best talents to the Company and receive a reward