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10 дней назад

Data Platform Reliability Engineer (AI/Data)

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

Текст:
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TL;DR
Data Platform Reliability Engineer (AI/Data): Building and operating reliable, observable, automated data and AI platforms at enterprise scale with an accent on infrastructure automation, monitoring, resilience, and production operations. Focus on defining SLOs, improving incident response, implementing observability across pipelines and AI services, and replacing operational toil with automation.

Location: Arlington, Texas, United States; ability to travel overnight required.

Company

hirify.global is a publicly traded Fortune 500 homebuilder that constructs and sells homes and provides mortgage financing and title services.

What you will do

  • Automate platform provisioning, configuration, deployment, monitoring, health checks, and remediation using code and infrastructure-as-code.
  • Define and operate SLIs, SLOs, service tiers, alerting, incident response, root-cause analysis, and post-incident improvement practices.
  • Implement observability across data pipelines, platform services, workloads, APIs, and AI services.
  • Improve platform security, access, secrets management, resilience, disaster recovery, capacity, and performance.
  • Partner with engineering teams to embed reliability and operability into products before production launch.
  • Represent reliability in discovery, architecture, governance, operational-readiness, and continuous-improvement activities, while identifying and piloting practical data, AI, and digital opportunities.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.
  • 5+ years of experience in platform engineering, SRE, DevOps, DataOps, cloud infrastructure, database or platform administration, or a related area.
  • Strong automation skills with Python, PowerShell, Go, or comparable languages and infrastructure-as-code tools.
  • Experience with observability, incident management, CI/CD, cloud security, reliability engineering, and production operations.
  • Working knowledge of modern data platforms and distributed systems.
  • Ability to work independently, take ownership, communicate clearly, and deliver results in an evolving environment.
  • Ability to build trusted relationships across the organization while balancing enterprise standards with business needs and operational realities.

Nice to have

  • Experience with Snowflake, Azure, Kubernetes, GitHub, Terraform/OpenTofu, Datadog/OpenTelemetry, Kafka or Azure Event Hubs, streaming platforms, Airflow/Dagster-class orchestration, LLM observability, AI workload observability, or comparable technologies.
  • Experience in homebuilding, real estate, construction, mortgage, title, land development, sales, purchasing, finance, customer care, or another distributed operating business.
  • Experience working in a large enterprise with complex enterprise environments.
  • Experience founding, incubating, or building new products, capabilities, or businesses from the ground up.

Culture & Benefits

  • Full-time employment with medical, dental, and vision coverage.
  • 401(k), employee stock purchase plan, flexible spending accounts, and life and disability insurance.
  • Vacation, sick, personal time, and company holidays.
  • Additional voluntary and company-provided benefits.
  • Professional and ethical working environment focused on practical innovation, ownership, and business impact.

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