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10 дней назад

Senior DevOps Engineer I (AI)

114 000 - 157 000$
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
Senior DevOps Engineer I (AI/Observability): Building and operating scalable observability platforms for mission-critical aerospace systems with an accent on telemetry, dashboards, alerting, and AI-driven automation. Focus on designing reliable monitoring infrastructure across AWS, GCP, and Kubernetes, integrating CI/CD workflows, and creating AI agents that troubleshoot software testing failures.

Location: Littleton, Colorado, United States; based at hirify.global's site. U.S. citizenship is required due to program requirements and U.S. government space technology export regulations.

Base salary: $114,000–$157,000 USD annually. Total compensation, including base and equity: $158,000–$184,000 USD annually.

Company

hirify.global is an end-to-end space company building rockets, spacecraft, payloads, and critical subsystems for commercial, exploration, national security, and defense missions.

What you will do

  • Build, operate, and improve the observability stack using Grafana, Grafana Mimir, kube-prometheus-stack, and Grafana Alloy.
  • Design scalable metrics collection, ingestion, retention, querying, dashboards, alerting, and notification workflows for Kubernetes and cloud workloads.
  • Define service-level indicators, service-level objectives, monitoring standards, and durable instrumentation improvements with engineering teams.
  • Integrate AWS CloudWatch and CloudTrail telemetry and troubleshoot monitoring, telemetry, and alerting issues across AWS and GCP.
  • Manage observability infrastructure through Terraform, Git, automated deployments, and CI/CD pipelines, while supporting code reviews and integrated pipelines.
  • Design AI agents and AI-powered quality automation ecosystems that detect, analyze, and troubleshoot software testing failures across CI/CD pipelines.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, or another technical discipline.
  • 5+ years of experience in DevOps, site reliability engineering, platform engineering, or a related infrastructure discipline.
  • Hands-on experience operating and improving production observability and monitoring platforms.
  • Demonstrated expertise in AI/ML technologies and hands-on experience building AI-driven automation systems.
  • Experience with AWS and GCP cloud services.
  • Experience managing infrastructure as code with Terraform and collaborating through Git-based workflows.
  • U.S. citizenship is required due to program requirements.

Nice to have

  • Experience with Splunk, Grafana, Grafana Mimir, kube-prometheus-stack, Grafana Alloy, Prometheus-based monitoring, Kubecost, and observability platforms.
  • Experience administering data visualization and analytics platforms or building dashboards with Grafana, Kibana, or custom visualization frameworks.
  • Strong problem-solving skills, an automation-first mindset, and a record of improving production reliability.
  • Strong understanding of CI/CD automation, DevSecOps practices, Kubernetes operations, cloud networking, and security testing.
  • Aerospace experience supporting satellite, spacecraft, constellation, or launch vehicle ground or mission operations.
  • Expertise in Git-based workflows, CI/CD pipelines, Kubernetes orchestration, and operating or building solutions in a GovCloud environment.

Culture & Benefits

  • Work on mission-critical space systems and collaborate with Space Systems engineering teams.
  • Benefits include medical, dental, and vision coverage, paid vacation and sick time, 11 paid holidays, parental leave, disability and life insurance, and flexible spending and dependent care accounts.
  • 401(k) retirement plan with company match and employee stock purchase program with a 15% discount.
  • Company stock is included as part of total compensation.
  • The role may involve prolonged sitting, standing, walking, computer work, and occasional exposure to moderate noise, dust, and fumes in production areas.

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