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1 день назад

Staff Software Engineer, Infrastructure (AI)

300 000 - 375 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Staff Software Engineer, Infrastructure (AI): Building and optimizing high-scale, low-latency production infrastructure for a conversational AI platform with an accent on networking, data, and ML serving. Focus on architectural solutions, service latency optimization, and evolving CI/CD and GitOps practices to ensure system reliability and developer velocity.

Location: San Francisco, in-office

Salary: $300K–$375K

Company

hirify.global is the leading conversational AI platform empowering every brand to deliver concierge customer experience.

What you will do

  • Design and implement critical infrastructure services with strong SLOs, clear runbooks, and actionable telemetry.
  • Partner with research and product teams to architect solutions, evaluate performance, and scale new features.
  • Tune service latencies by optimizing networking paths, caching, queuing, and CPU/memory/I/O.
  • Evolve CI/CD, golden paths, and self-service tooling to improve developer velocity and safety.
  • Support various deployment architectures for customers with robust observability and upgrade paths.
  • Lead infrastructure-as-code (Terraform) and GitOps practices, reducing drift with reusable modules and policy-as-code.
  • Participate in on-call and drive down toil through automation and elimination of recurring issues.

Requirements

  • 8+ years building and operating production infrastructure at scale.
  • Depth in at least one area across Core/Data/AI-ML/Platform/Voice infrastructure.
  • Proven track record meeting high availability and low latency targets (owning SLOs, p95/p99, and load testing).
  • Excellent observability chops (OpenTelemetry, Prometheus/Grafana, Datadog) and incident response (PagerDuty, SLO/error budgets).
  • Clear written communication and the ability to turn ambiguous requirements into simple, reliable designs.

Nice to have

  • Experience being an early backend/platform/infrastructure engineer at another company.
  • Strong Kubernetes experience (GKE/EKS/AKS) and experience across multiple cloud providers (GCP, AWS, and Azure).
  • Experience with customer-managed deployments.

Culture & Benefits

  • Medical, dental, and vision benefits.
  • Flexible time off.
  • Daily lunch/dinner & snacks in the office.
  • Driven by values: customers are everything, relentless momentum, winner’s mindset, and stronger together.
  • Work in an in-office company environment focused on excellence and velocity.

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