site reliability engineer for AI agent infrastructure
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вакансия
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324 200 ₽
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О рекламодателе
ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ "ЦЕНТР НАЦИОНАЛЬНЫХ ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМ" ИНН: 9704271170
описание
For some roles, your first interview may be with an AI interviewer instead of a person, and a recruiter reviews that conversation before deciding whether you move forward. From there, our human interviewers may use AI to take notes throughout the rest of the process, never to score or evaluate you, just so they can stay focused on the conversation instead of typing. You'll be told before this happens, and if you'd rather not be recorded, you can opt out at any point.
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задачи
Act as a technical leader across site reliability, platform architecture, and infrastructure scaling
Bridge product, development, and operations, enabling cross-functional collaboration and scaling business operations
Guide technical strategy across Kubernetes, cloud systems, SRE practices, and modern software development
Ensure the platform is a robust, reliable, and secure foundation for future growth
Solve complex distributed systems challenges
Lead the platform’s transition to the agentic era, driving AI agent operations and development
Adapt industry standards for Kubernetes, public cloud, and distributed systems to the platform’s scaling needs
Support business goals through initiatives such as migrating legacy services to Kubernetes, improving self-service capabilities, and improving product reliability as products scale to more customers
Shape and build reliable, scalable multi-cloud Kubernetes infrastructure for AI agent interactions and developer tools
Improve system and application performance observability, including the use of OpenTelemetry and observability platforms
Advise on database selection, scaling, and management; run proofs of concept to expand internal self-service offerings
Participate in on-call rotations, respond to system incidents, and maintain product reliability
требования
Experience designing and operating large-scale cloud environments in a platform, SRE, or architecture team, with a focus on self-service capabilities and user experience
Experience with agentic development and operations, while maintaining independent judgment
Deep experience architecting complex distributed systems and developing long-term strategies
Experience guiding teams in breaking down monolithic applications and migrating them to Kubernetes
Advanced Kubernetes knowledge, including networking and security across clouds
Direct experience building or operating observability platforms, especially integrating OpenTelemetry with infrastructure and services
Hands-on experience with AI/ML concepts, inference workloads, AI agent frameworks, and platform capabilities for agentic operations and development
Software development background in Go or Python, with the ability to prototype and write quality code
Experience deploying and operating relational and NoSQL databases in production cloud-native environments, preferably on Kubernetes
Extensive Infrastructure-as-Code experience and experience promoting self-service through developer portals such as Backstage
Будет плюсом: architecting and operating agentic platforms, including agentic runtime infrastructure, secure tool-use governance, model/provider abstraction layers, and observability for multi-agent workflows; Model Context Protocol (MCP), agentic memory layers, and token cost tracking; building and promoting a platform-as-a-product for internal developer customers; FinOps and cost-efficient architecture; cloud security, threat modeling, network security, and identity management; reusable, scalable IaC with Terraform modules or Crossplane Compositions; open-source contributions in the cloud-native space
условия
Competitive compensation package, including equity
Work equipment and a home office allowance for employees in fully remote locations