6 дней назад
Senior Platform Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Platform Engineer (AI): Building and evolving a cloud-native platform with scalable .NET backend services, Kubernetes infrastructure, and developer platforms with an accent on microservices architecture, reliability, security, and AI-assisted development. Focus on designing high-performance distributed systems, validating AI-generated implementations, and improving developer experience across multiple engineering teams.
Location: Tel Aviv, Israel
Company
develops an AI-powered IT management platform combining remote monitoring, helpdesk, ticketing, automation, and reporting for IT professionals.
What you will do
- Design, build, and maintain scalable backend services with C# and .NET Core.
- Lead the evolution of a cloud-native platform and microservices architecture.
- Build infrastructure and developer platforms that improve engineering velocity.
- Work with Kubernetes, Docker, and Azure, AWS, or GCP cloud platforms.
- Drive architectural decisions focused on scalability, reliability, security, and performance.
- Collaborate with engineering teams, improve developer experience, and mentor engineers across multiple teams.
Requirements
- 4+ years of experience building cloud-native systems with Azure, AWS, or GCP.
- Expert-level proficiency in C# and .NET Core, with experience building scalable RESTful microservices.
- Strong hands-on experience with Kubernetes and Docker.
- Experience in platform or infrastructure engineering.
- Knowledge of relational and NoSQL databases, including MSSQL and MongoDB.
- Daily hands-on use of AI coding tools and spec-driven development, with attention to testing, observability, code quality, security, and performance.
Nice to have
- Experience configuring AI development tools, including custom instructions, MCP servers, or reusable prompt libraries.
- Experience optimizing large-scale distributed systems.
- Knowledge of performance optimization, memory management, and .NET garbage collection.
- Strong analytical and problem-solving skills.
Culture & Benefits
- Ownership, transparency, autonomy, and continuous learning.
- Opportunity to influence platform architecture and engineering practices across the organization.
- Hands-on work on complex technical challenges in an AI-powered IT management product.
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