Devops engineer in logistics

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. You will join Diego Silva, our Lead DevOps Engineer, as the second DevOps specialist responsible for the platform. You will take ownership of substantial workstreams while partnering closely with application and data engineers.

• 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.

• 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

• 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.