2 days ago
London, United KingdomSenior
Responsibilities
- Build observability through improved metrics, logs, traces, and alerts across the Django API, data pipelines, and warehouse.
- Improve GitLab pipelines and deployment controls so merge reviews, production releases, and recovery processes are dependable and difficult to bypass.
- Reduce operational risk by removing direct-to-production paths, improving release controls, and establishing a predictable weekly release cadence.
- Manage and reduce GCP cloud costs by attributing spend to workloads and product areas.
- Develop and document reproducible, secure infrastructure using Terraform and Kubernetes.
- Strengthen data-pipeline reliability with failure detection, freshness checks, replay paths, and clear ownership across Datastream, Pub/Sub, dbt, and BigQuery.
- Help shape incident-management and on-call practices and convert recurring failures into automated safeguards.
- Partner with application and data engineers to improve their ability to ship safely and support production.
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.
- Demonstrated experience instrumenting real systems and improving metrics, logging, tracing, or alerting.
- 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, prioritize improvements in imperfect systems, and carry them through to production.
- Practical experience using AI coding tools such as Cursor or Claude, including providing context and verifying infrastructure changes.
- Preferred: Python experience for investigating or fixing Django application issues.
- Preferred: security or compliance experience in an enterprise SaaS environment.
- Preferred: incident-management or on-call process design experience.
- Preferred: BigQuery cost and performance tuning experience.
Benefits
- Remote team with clusters in London and Amsterdam; candidates are ideally based in the UK, Netherlands, or Europe in the CET timezone.
- Flexible and hybrid work opportunities supporting varied work arrangements.
- Opportunity to work on a live enterprise SaaS platform across application, infrastructure, delivery, and data reliability concerns.
Tech Stack
Apache SupersetArgo CDdbtDjangoGitLab CI/CDGoogle BigQueryGoogle Cloud PlatformKubernetesNode.jsPythonReactTerraformTypeScript
Categories
Data EngineeringDevOps
About IFS
IFS builds IFS Cloud, an enterprise suite covering ERP, EAM, FSM, SCM, and project/service management for manufacturers and asset‑intensive organizations. Its business model centers on software subscriptions and services for cloud and hybrid deployments, plus industry-specific modules and consulting. Founded in 1983 and headquartered in Linköping, Sweden, the company is privately held under EQT ownership and operates globally across industrial and service-focused markets.