Devops engineer in logistics

IFS; United States; Hybrid; USD 140,000 - 190,000; Full time

Job summary

IFS Logistics ищет опытного инженера DevOps для поддержки и роста нашей SaaS-платформы в сфере логистики. Вы будете работать над observability, CI/CD, управлением ресурсами в GCP и улучшением процессов релизов.

Кандидат должен продемонстрировать практический опыт в Kubernetes, Terraform и настройке метрик/логирования, а также уметь снижать cloud-расходы. Работа предполагает гибридный формат в США.

Qualifications

• Опыт эксплуатации продукционных сервисов на GCP.
• Знание Kubernetes и Terraform и умение разворачивать и поддерживать инфраструктуру.
• Опыт настройки CI/CD в GitLab или аналогичной системе.
• Доказанная инструментализация системы: улучшение метрик, логов, трассировки или алертинга.
• Опыт работы с данными пайплайнами: стриминг, загрузка в хранилище, dbt.
• Способность критически оценивать изменения и обеспечивать безопасность релизов.
• Опыт работы с инструментами ИИ кодирования (Cursor или Claude).
• Опыт снижения cloud-расходов.
• Умение определить, что важно, и доводить изменения до прод.

Responsibilities

• Строить наблюдаемость и метрики.
• Улучшать метрики, логи, трассировки и алертинг в Django API, пайплайнах и warehouse.
• Оптимизировать CI/CD процессы.
• Сделать GitLab-процессы быстрыми и управляемыми.
• Снижать операционный риск и улучшать процессы релизов.
• Улучшать управляемость облачных расходов и прозрачность расходов по нагрузке.
• Разрабатывать инфраструктуру как код.
• Усовершенствовать Terraform и Kubernetes, чтобы окружения были воспроизводимы и безопасны.
• Укреплять надежность дата-пайплайнов: детекция сбоев, freshness checks, ретраи.
• Участвовать в инцидент-менеджменте и on-call.
• Внести вклад в создание автоматических проверок.

Skills

GCP production ops

Kubernetes

Terraform

GitLab CI/CD

Observability/metrics

Data pipelines

Cost optimization

Python

AI coding tools

Incident management

Tools

BigQuery

Job description

Описание:

IFS Logistics helps enterprise shippers connect transport data, manage carrier spend, and automate execution. The product began as 7bridges and is now part of IFS, with a small, focused team working closely with the commercial organisation. We build SaaS products that customers can run themselves. The platform handles busy, data-heavy logistics operations, so reliability and clear operational visibility matter every day.

Задачи:

• Build useful observability.
• Improve metrics, logs, traces and alerts across the Django API, data pipelines and warehouse so the team spots problems early and can diagnose them quickly.
• Improve CI/CD.
• Make GitLab pipelines fast, dependable and difficult to bypass, with review and deployment controls built into the workflow.
• Reduce operational risk.
• Remove direct-to-production paths, improve release controls and help the team establish a reliable weekly release rhythm.
• Manage cloud cost.
• Make GCP spend visible by workload and product area, then reduce waste without compromising service quality.
• Develop infrastructure as code.
• Improve our Terraform and Kubernetes setup so environments are reproducible, secure and clearly documented.
• Strengthen data-pipeline reliability.
• Add failure detection, freshness checks, replay paths and clear ownership across Datastream, Pub/Sub, dbt and BigQuery.
• Respond and learn.
• Help shape incident management and on-call practices, then turn recurring failures into automated checks and safeguards.

Требования:

• Strong experience running production services on GCP.
• Practical knowledge of Kubernetes and Terraform, including operating and improving infrastructure rather than only deploying to it.
• Experience designing and maintaining CI/CD pipelines in GitLab or a similar platform.
• Evidence that you have instrumented a real system and improved its metrics, logging, tracing or alerting.
• Examples of treating cloud cost as an engineering concern: attributing spend, finding waste and making informed trade-offs.
• Experience operating data pipelines, such as streaming ingestion, warehouse loads, dbt transformations or similar workflows.
• The confidence to challenge an unsafe change and explain what needs to happen before it can ship.
• Practical experience with AI coding tools such as Cursor or Claude, including how you provide context and verify infrastructure changes before accepting them.
• The ability to assess an imperfect system, decide what matters most and carry the improvement through to production.
• Будет плюсом: Enough Python experience to investigate or fix issues in a Django application; Security or compliance work in an enterprise SaaS environment; Experience designing incident-management or on-call processes; BigQuery cost and performance tuning

Условия:

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.