System Engineer/ DevOps – Senior
Indexed description
Rather than focusing solely on pipeline maintenance and cluster management, this role centers on building abstract internal tooling, establishing engineering guardrails, and acting 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 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.
- 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+).
- Practical experience scaling and maintaining infrastructure for AI-powered applications, LLM frameworks, or MLOps pipelines.
- Full-time remote work opportunities and flexible working hours
- Private insurance
- Additional 1 Day Off per calendar year
- Sports benefit
- Comprehensive Mental Health Programme
- Free online English lessons with a native speaker
- Generous referral program
- Training, internal workshops, and participation in international professional conferences and corporate events.
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