обновлено 5 дней назад
Principal Software Engineer - ML Platform Engineer
Мэтч & Сопровод
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Описание вакансии
Текст:
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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