Platform Engineer: CI/CD, Azure & Observability

Lulalend; Cape Town; On-site; ZAR 750,000 - 1,100,000; Full time

Job summary

Lula is building a focused innovation pod to turn high-value ideas into production-ready capabilities quickly, then hand them to the teams who run them.

This role owns the pipelines, environments, deployment safety, and observability to know something is wrong before the business does. You will collaborate with senior platform and data engineers, a pod lead, and a dedicated Data Engineering function.

Qualifications

• 3-5 years of experience in a similar role.
• Production experience owning CI/CD pipelines end-to-end.
• Hands-on with Docker and Azure managed services.
• Practical observability skills; diagnosing live issues, not just dashboards.
• Experience running database or schema migrations in production, including rollbacks.
• Comfortable in a small team without a large platform function behind you.

Responsibilities

• Design and maintain CI/CD pipelines for rapid, safe deployment.
• Own the infrastructure layer on Azure: environments, configuration, secrets, networking.
• Manage containerised workloads using Docker and Azure managed services.
• Set up and maintain observability — logging, metrics, alerting — and diagnose production issues.
• Execute database and schema migrations safely, with rollback paths that actually work.
• Work with the Data Engineering function on the data platform the pod builds against.
• Document what you build so production teams can inherit it.

Skills

CI/CD pipelines

Docker

Azure services

Observability

Database migrations

3-5 years exp

Small team dynamics

Tools

Terraform

Pulumi

Bicep

Job description

Lula is building a focused innovation pod to turn high-value ideas into production-ready capabilities quickly, then hand them to the teams who run them.

This role owns the pipelines, environments, deployment safety, and observability to know something is wrong before the business does. You will collaborate with senior platform and data engineers, a pod lead, and a dedicated Data Engineering function.