Высокоуровневая роль Principal-инженера в топовой продуктовой компании, сочетающая передовую AI-инфраструктуру, четкий scope и отличные бонусы.
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Зарплата не указанаПередовой стекПонятный scopeТрендовый доменОтличные бонусы
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Hirify AI/Оригинал
TL;DR
Principal Software Engineer - ML Platform Engineer (AI/platform engineering): Building internal platforms, automation systems, and operational guardrails that make AI services and developer workflows more scalable, reliable, secure, and easy to use with an accent on self-service platforms, observability, CI/CD, and AI-native engineering automation. Focus on troubleshooting model-serving systems across GPU environments, designing resilience and recovery testing, and establishing safe, measurable governance for AI-assisted development workflows.
Company
Riot Games develops player-focused games and the platforms, tools, and technical foundations that support its game development organization.
What you will do
Design and evolve internal platforms, reusable abstractions, self-service workflows, and golden paths for AI services and engineering teams.
Improve reliability through observability, monitoring, alerting, deployment safety, release practices, SLIs, SLOs, and incident readiness.
Build automation that reduces operational toil, improves incident detection and recovery, and strengthens CI/CD and developer workflows.
Troubleshoot AI model-serving issues across frameworks, runtimes, GPU environments, and model format conversion workflows.
Design resilience, recovery, and failure-mode testing for distributed systems and platform infrastructure.
Evaluate and operate AI-assisted engineering workflows for code review, bug detection, testing, remediation, UI validation, accessibility checks, and production readiness.
Requirements
Bachelor’s degree in Computer Science or a related field, or equivalent professional experience.
5+ years of experience in platform engineering, infrastructure engineering, SRE, DevOps, developer experience, or a similar production-focused role.
Strong programming and automation skills in Python, Go, JavaScript, or TypeScript.
Experience building or operating internal platforms, developer tooling, CI/CD systems, shared infrastructure, and cloud production systems.
Knowledge of observability, distributed systems, incident management, root cause analysis, containers, and orchestration platforms such as Kubernetes or ECS.
Ability to collaborate across teams, influence technical direction, and communicate with technical and non-technical stakeholders.
Nice to have
Experience with AI/ML platforms, inference services, model serving, data pipelines, or GPU-backed workloads.
Experience with SLOs, error budgets, platform product thinking, infrastructure as code, security, access control, and secrets management.
Experience evaluating AI-assisted software engineering tools and agentic workflows involving source control, CI/CD, browser automation, and developer platforms.
Experience with Playwright or similar browser automation frameworks for UI validation, accessibility checks, regression testing, or workflow automation.
Experience mentoring engineers and establishing governance and quality controls for automated systems.
Culture & Benefits
Collaborative, craft-focused environment centered on serving fellow engineers as internal customers.
Full relocation support.
Comprehensive health insurance for employees and dependents.
Open paid time off, retirement benefits with company matching, life insurance, parental leave, and disability coverage.
Play Fund and doubled donations of time and money to nonprofits.
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