Senior System Engineer – DevOps

This is a fully remote position, open to applicants in Poland, +4 more countries.

📋 Description

• Design and manage scalable, multi-tenant Kubernetes platforms utilizing reusable Helm templates to facilitate developer self-service.

• Take ownership of pipeline reliability, cost efficiency, and speed.

• Incorporate automated release gates, secure secret management architectures, and software vulnerability scanning (SCA).

• Develop custom tools to enhance platform functionalities and standardize shared environments.

• Oversee distributed tracing, logging, and metrics systems.

• Provide guidance to development teams on service instrumentation and the establishment of SLIs/SLOs/SLAs.

• Advise development teams on system architecture, resource optimization, and contemporary traffic routing patterns.

• Design, construct, and optimize scalable infrastructure and deployment pipelines to guarantee high system reliability, performance, and security.

• Act as a senior technical advisor to software development teams and mentor engineering teams on cloud-native best practices.

⛳️ Requirements

• Over 5 years of experience in a DevOps, SRE, or Platform Engineering capacity supporting high-load distributed systems.

• Strong understanding of multi-cloud strategies, multi-region architectures, and cloud cost optimization techniques.

• Proficient in production-grade Kubernetes management, including advanced scheduling policies, network isolation, and intricate Helm templating.

• Extensive Linux administration experience and cross-stack troubleshooting skills.

• Experience in configuring L4/L7 traffic layers (Load Balancers, Ingress, API Gateways, Service Meshes).

• Expertise in declarative Infrastructure as Code (IaC) and proficiency in Python, Go, or Bash.

• Capability to independently collect requirements, establish delivery objectives, and create maintainable solutions.

• Intermediate or above proficiency in English and Russian (B1+).

• Desirable: Practical experience in scaling and maintaining infrastructure for AI-driven applications, LLM frameworks, or MLOps pipelines.

🏝️ Benefits

• Private health insurance.

• Sports benefits.

• Comprehensive Mental Health Program.

• Free online English lessons.

• Local language courses.

• Paid time off.

• Maternity leave support.

• Rewards for referral program participation.

• Opportunities for upskilling, internal workshops, and participation in professional conferences and corporate events.