DevOps Engineer (Senior) - IFS Logistics

In this role, you’ll own the platform’s DevOps improvements within the IFS Logistics team, driving reliable deployments and stronger observability. You will partner with application and data engineers to create safer delivery paths, better signals, and faster recovery. You’ll implement robust CI/CD, cost-aware cloud practices, and reproducible infrastructure to scale with the product. You’ll shape incident response and turn recurring failures into automated safeguards, contributing to a high-availability, data-driven platform. This is a hands-on opportunity to impact live systems and help the team ship safely at pace.

• remote work
• hybrid work opportunities
• flexible work arrangements
• inclusive workplace
• global team environment
• opportunity to shape platform at scale

• Build and enhance observability across Django API, data pipelines, and warehouse to enable early problem detection
• Strengthen CI/CD pipelines in GitLab with enforced review and deployment controls
• Reduce operational risk by eliminating direct-to-production paths and establishing a weekly release cadence
• Manage cloud cost visibility by workload and product area to minimize waste
• Develop infrastructure as code improvements (Terraform, Kubernetes) for reproducible, secure environments
• Improve data-pipeline reliability with failure detection, freshness checks, and ownership across Datastream, Pub/Sub, dbt, and BigQuery
• Contribute to incident management and on-call practices, turning failures into automated checks and safeguards
• Take ownership of significant workstreams in collaboration with engineers to deliver measurable improvements

• Production experience on Google Cloud Platform (GCP)
• Practical knowledge of Kubernetes and Terraform for ongoing infrastructure improvements
• Experience designing and maintaining GitLab CI/CD pipelines
• Evidence of instrumentation of systems in metrics, logs, traces, or alerts
• Ability to view cloud cost as an engineering concern and optimize spend
• Experience operating data pipelines (streaming ingestion, warehouse loads, dbt transformations)
• Ability to challenge unsafe changes and articulate what is required before shipping
• Practical experience with AI coding tools such as Cursor or Claude and validating infrastructure changes

• Collaborative mindset with cross-functional teams
• Problem-solving and ownership mentality
• Strong communication and ability to advocate for reliability and safety
• GCP
• Kubernetes
• Terraform