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12 часов назад

Senior Software Engineer (AI)

116 475 - 174 713$
Формат работы
hybrid
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

Текст:
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TL;DR
Senior Software Engineer (AI): Building and operating highly available application platforms and AI-assisted incident response systems with an accent on observability, reliability engineering, and production machine learning. Focus on designing SLIs and SLOs, developing LLM-based operational tools, analyzing distributed-system performance, and reducing MTTR through anomaly detection and automation.

Location: Atlanta, Georgia, United States; office-first culture with three days per week in the office for most roles

Annual base salary: $116,475–$174,712.50 USD for candidates based in California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington.

Company

hirify.global develops an AI-ready governance platform that combines regulatory intelligence, automation, and connected workflows for responsible data use.

What you will do

  • Design, deliver, and maintain highly available and performant application platforms with Engineering, Operations, and Product teams.
  • Build observability, monitoring, centralized logging, metrics, and high-signal alerting systems.
  • Define and maintain SLIs, SLOs, and error budgets aligned with customer experience and product velocity.
  • Automate operational processes and incident response using Python, Bash, Java, or Ruby.
  • Build and operate AI-assisted incident response systems, including root-cause analysis, log summarization, and anomaly triage.
  • Review architectures with product teams, identify reliability risks, and communicate findings to technical leadership and senior management.

Requirements

  • Bachelor’s degree in computer science, engineering, or a related technical or business field.
  • At least four years of application development experience with Java or an equivalent language, including Spring experience.
  • Experience with cloud infrastructure, distributed systems at scale, Kubernetes, containers, microservices, and service meshes.
  • Knowledge of application performance factors including databases, networks, CPU and memory utilization, JVM tuning, thread management, and query performance.
  • Hands-on experience with observability tools such as Datadog, Prometheus, or Grafana, plus CI/CD and infrastructure-as-code tools including Terraform, Helm, Jenkins, or GitLab.
  • Production experience deploying AI systems, LLM-based tools, machine-learning techniques, vector databases, embeddings, RAG architectures, and prompt evaluation for reliability workflows.

Nice to have

  • Experience with chaos engineering tools such as Gremlin or Chaos Monkey.
  • Background with high-traffic, product-facing services.
  • Experience using incident management platforms such as PagerDuty and Datadog.

Culture & Benefits

  • Office-first work environment with regular in-person collaboration.
  • Healthcare coverage, flexible paid time off, equity RSUs, and annual performance bonus opportunities.
  • Retirement account support and 14+ weeks of paid parental leave.
  • Career development opportunities and company-paid privacy certification exam fees.
  • Employee support focused on physical, mental, and emotional well-being.

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