DevOps & Platform Engineer

LulaLula is on a mission to simplify business funding for South African SMEs. We build fast, digital-first fintech tools that make cash flow management seamless so business owners can focus on doing what they love. We're a fast-growing, tech-driven team that values curiosity, collaboration, and high impact over red tape. Speaking of love, we're looking for Lulas who love to make a difference to join our team and change the game.Culture CodeWe Embrace Curiosity - We continuously seek better ways to deliver value with a solutions-over-problems mindset.We Win as One - We collaborate, build strong relationships and value diverse perspectivesWe're Driven by Purpose - We are passionate and committed to delivering the best products and services for SMEsWe Execute with Ambition - We set ambitious goals, embrace challenges, and deliver with focus and determination.Role PurposeWe are building a small, focused innovation pod inside a fintech scale-up. The pod's job is to turn high-value ideas into production-ready capabilities quickly, then hand them to the teams who run them.That only works if the path to production is solid. This role owns it: the pipelines, the environments, the deployment safety, and the observability to know something is wrong before the business does.You will have senior platform and data engineering support around you, a pod lead, a senior colleague covering the platform and data seat, and a dedicated Data Engineering function to work with directly.This is an early position with real influence over how the pod's operational foundations are built. You will shape the implementation; the pod's direction is set collaboratively with the lead.If you like being the person who makes fast delivery safe, rather than the person who slows it down to achieve the same thing then this is the role for you.Key ResponsibilitiesDesign and maintain CI/CD pipelines for rapid, safe deploymentOwn the infrastructure layer on Azure: environments, configuration, secrets, networkingManage containerised workloads using Docker and Azure managed servicesSet up and maintain observability — logging, metrics, alerting — and use it to diagnose real production issuesExecute database and schema migrations safely, with rollback paths that actually workWork alongside our Data Engineering function on the data platform the pod builds againstDocument what you build so production teams can inherit itThe Skills and Experience We're Looking For3-5 years of experience in a similar roleProduction experience owning CI/CD pipelines end-to-endHands-on with Docker and Azure managed servicesPractical observability skills; diagnosing live issues, not just standing up dashboardsExperience running database or schema migrations in production, including when they go wrongComfortable in a small team without a large platform function behind youAdvantageous:Infrastructure as Code: Terraform, Pulumi or BicepFintech or other regulated-environment experienceExposure to modern data tooling such as dbt or SnowflakeInterest in agentic or AI-assisted development workflowsA habit of documenting decisions: ADRs, runbooks, incident write-ups