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8 часов назад

Senior Software Engineer (AI)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Software Engineer (Go/Rust/Python): Building and scaling control and data plane systems for a GenAI GPU cloud with an accent on distributed state management and high-throughput workloads. Focus on designing reliable platform services, optimizing data flows for AI/ML training, and implementing robust orchestration across multiple regions.

Location: Remote (Geography is no barrier)

Company

hirify.global is a GPU cloud provider engineered to provide high-performance infrastructure for AI startups and enterprises.

What you will do

  • Develop and own control and data plane services, including APIs and SDKs for platform consumption.
  • Implement distributed state management, storage systems, and workload orchestration across multiple regions.
  • Engineer infrastructure for high-throughput workloads and distributed data flows for AI/ML training and inference.
  • Drive technical decisions and champion engineering best practices for reliability, testing, and CI/CD.
  • Manage the operational health of production systems via observability, performance optimization, and incident response.
  • Create novel platform capabilities leveraging cloud-native technologies and AI.

Requirements

  • Extensive experience designing and operating scalable production systems on major cloud providers (AWS, GCP).
  • Proven track record of delivering multi-service distributed systems from ambiguous requirements to production.
  • Strong proficiency with typed languages, primarily Go, with familiarity in Rust and Python.
  • Integration of AI tools (e.g., Claude, Cursor) into the core development workflow to multiply productivity.
  • Experience in day 2 operations, including monitoring, alerting, and performance optimization at scale.

Nice to have

  • Experience with Kubernetes, Terraform, Pulumi, and message queues (NATS, Kafka, RabbitMQ).
  • Knowledge of GPU orchestration and workload scheduling for AI/ML inference and training.
  • Contributions to open-source projects within the cloud-native ecosystem.
  • Ability to contribute to the frontend to accelerate delivery when needed.

Culture & Benefits

  • Competitive compensation package including base salary and equity with annual reviews.
  • Opportunity to join a fast-growing tech startup at the forefront of AI infrastructure.
  • Dynamic progression plan tailored to individual ambitions and impact.
  • Remote-first culture with "Human-First Flexibility," providing autonomy over daily schedules.
  • Collaborative and innovative environment emphasizing ownership and accountability.

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