System Engineer/ DevOps – Senior

Overview:

The role requires focusing on designing, scaling, and securing distributed environments while treating infrastructure as an internal product. This position serves as a critical bridge between software development and the core infrastructure.
This role focuses on building abstract internal tooling, setting engineering guardrails, and serving as a high-level technical advisor to software development teams. The position requires deep expertise in optimizing distributed systems, designing scalable cloud architectures, and mentoring engineering teams on cloud-native best practices.

About Product:

SOFTSWISS Game Aggregator
A fast and cost-effective solution that allows you to integrate and manage casino gaming content easily
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Purpose of the role:

You’ll design, build, and optimise scalable infrastructure and deployment pipelines to ensure high system reliability, performance, and security across our platforms. Your work will impact service uptime and delivery speed by enabling efficient CI/CD processes, improving observability, and supporting development teams in releasing high-quality features faster.

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+) proficiency.

Nice to have:

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