Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятная зона ответственности, измеримые цели на первые шесть месяцев и современная облачная платформа, но работа вторым DevOps-специалистом предполагает заметную нагрузку по продакшену и дежурствам.
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Дежурства и продакшенСовременный стекПонятные целиРост платформы
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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