System Engineer/DevOps

Purpose of the role:

You will be responsible for designing and evolving the internal platform that powers our Game Aggregator, enabling development teams to build, deploy, and operate services efficiently at scale. Acting as a bridge between software engineering and infrastructure, you will create reusable platform capabilities, establish engineering standards, and guide teams in adopting cloud-native best practices. Your work will improve system reliability, security, scalability, and developer experience across distributed, high-load environments.

Key responsibilities:

• Design and maintain scalable, multi-tenant Kubernetes platforms using reusable Helm templates to enable developer self-service.

• Own pipeline reliability, cost, and speed. Embed automated release gates, secure secret architectures, and software vulnerability scanning (SCA).

• Build custom tools to extend platform capabilities and standardize shared environments.

• Maintain distributed tracing, logging, and metrics systems. Guide development teams on service instrumentation and establishing SLIs/SLOs/SLAs.

• Consult development teams on system architecture, resource optimization, and modern traffic routing patterns.

Required Experience:

• 5+ years in a DevOps, SRE, or Platform Engineering role supporting high-load distributed systems.

• Strong grasp of multi-cloud patterns, multi-region architectures, and cloud cost optimization.

• Production-grade Kubernetes administration, including advanced scheduling policies, network isolation, and complex Helm templating.

• Deep Linux administration and cross-stack troubleshooting. Experience configuring L4/L7 traffic layers (Load Balancers, Ingress, API Gateways, Service Meshes).

• Mastery of declarative IaC and proficiency in Python, Go, or Bash.

• Ability to independently gather requirements, set delivery goals, and build maintainable solutions.

• Intermediate or higher English and Russian (B1+).

Nice to have:

• Practical experience scaling and maintaining infrastructure for AI-powered applications, LLM frameworks, or MLOps pipelines.