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Роль описана понятно и связана с перспективным AI-продуктом, но объединяет backend-разработку с серьезной ответственностью за инфраструктуру и дежурства в стартапе на ранней стадии.
?Широкая зона ответственности
Современный стек
AI-продукт
?Риски стартапа
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Backend & Cloud Infrastructure Engineer (AI/AWS): Building and scaling high-performance backend services, APIs, asynchronous processing systems, and AWS infrastructure for AI-driven consumer social products with an accent on reliability, performance, and cloud operations. Focus on designing RESTful and gRPC APIs, optimizing AI/LLM workloads, improving observability and autoscaling, and solving complex production, security, and cost-management challenges.
Location: San Francisco, USA; onsite
Company
hirify.global is building an AI-powered consumer platform for creating, remixing, sharing, and playing interactive content, combining AI, consumer social, and interactive entertainment.
What you will do
Own the architecture, development, and evolution of core backend services in Python or Go.
Design and build high-performance, highly available RESTful and gRPC APIs for high-traffic consumer features and AI/LLM workloads.
Design and tune asynchronous task processing and message queues, including Kafka, Celery, and SQS.
Plan, build, and govern AWS infrastructure, Infrastructure as Code, monitoring, logging, alerting, and CI/CD.
Lead incident response, on-call troubleshooting, postmortems, capacity planning, autoscaling, and disaster recovery improvements.
Own cloud cost and security, including least-privilege IAM, multi-account management, network access, reusable services, middleware, and internal tools.
Requirements
5+ years of backend development experience, including at least 2 years in cloud or infrastructure work.
Strong proficiency in Python or Go and hands-on experience building large projects with FastAPI, Django, or Gin.
Production experience designing, operating, and optimizing costs for AWS infrastructure.
Experience with Docker, ECS or Kubernetes, and Infrastructure as Code tools such as Terraform.
Strong MySQL or PostgreSQL schema design and performance-tuning skills; familiarity with Redis, Kafka, Nginx, and other common middleware.
Strong production debugging skills, including on-call and postmortem experience.
Ability to communicate effectively and own projects end to end, from design through launch.
Nice to have
Backend experience with AI/LLM applications, including model integration, agent systems, or LLM cost and reliability management.
Multi-cloud experience with AWS and GCP, cloud migration, account consolidation, or BigQuery and similar data platforms.
Knowledge of networking and security, including VPN, zero trust, and compliance.
Culture & Benefits
Full-time role within the Technical Staff department.
Early-stage, Series A startup environment with end-to-end ownership and flexibility to explore new ideas.
Top-tier market salary and competitive equity.
Full health insurance.
AI-native team focused on consumer social and interactive entertainment products.
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