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6 часов назад

DevOps Engineer (Senior) - IFS Logistics

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

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TL;DR
DevOps Engineer (Senior) - IFS Logistics (GCP/Kubernetes/Terraform): Building reliable delivery infrastructure, observability, and data-pipeline operations for a data-heavy logistics SaaS platform with an accent on GCP production services, CI/CD controls, infrastructure as code, and operational visibility. Focus on designing failure detection and recovery, enforcing safer releases, improving cloud-cost attribution, and strengthening incident response across application and data systems.

Location: Remote; must be based in the UK or the Netherlands. The team has clusters in London and Amsterdam.

Company

hirify.global develops AI-driven enterprise software, while hirify.global Logistics provides SaaS products for transport data, carrier spend management, and logistics execution.

What you will do

  • Build observability across the Django API, data pipelines, and warehouse using metrics, logs, traces, and alerts.
  • Improve GitLab CI/CD pipelines, merge-request review controls, production deployment safety, and weekly release cadence.
  • Manage GCP cost attribution and reduce waste while preserving service quality.
  • Develop reproducible, secure, and documented infrastructure with Terraform and Kubernetes.
  • Strengthen Datastream, Pub/Sub, dbt, and BigQuery pipeline reliability through failure detection, freshness checks, replay paths, and ownership.
  • Help shape incident management and on-call practices, converting recurring failures into automated safeguards.

Requirements

  • Strong experience running production services on GCP.
  • Practical experience operating and improving Kubernetes and Terraform infrastructure.
  • Experience designing and maintaining CI/CD pipelines in GitLab or a similar platform.
  • Evidence of improving metrics, logging, tracing, or alerting in a real system.
  • Experience attributing cloud spend, identifying waste, and making engineering trade-offs.
  • Experience operating data pipelines, including streaming ingestion, warehouse loads, dbt transformations, or similar workflows.
  • Ability to challenge unsafe changes and define what must happen before release.
  • Practical experience with AI coding tools such as Cursor or Claude, including providing context and verifying infrastructure changes.
  • Ability to assess imperfect systems, prioritize improvements, and carry them through to production.

Nice to have

  • Python experience sufficient to investigate or fix Django application issues.
  • Security or compliance experience in an enterprise SaaS environment.
  • Experience designing incident-management or on-call processes.
  • BigQuery cost and performance tuning experience.

Culture & Benefits

  • Remote work with clusters of colleagues in London and Amsterdam.
  • Flexible and hybrid work opportunities are supported alongside inclusive workplace experiences.
  • The role supports a growing platform and closer collaboration with application and data engineers.
  • The position includes production support, incident response, and on-call practice development.

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