DevOps & Platform Engineer

ABOUT LULA

Lula 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. Were a fast-growing tech-driven team that values curiosity collaboration and high impact over red tape. Speaking of love were looking for Lulas who love to make a difference to join our team and change the game.

CULTURE CODE

• We 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 perspectives

• Were Driven by Purpose - We are passionate and committed to delivering the best products and services for SMEs

• We Execute with Ambition - We set ambitious goals embrace challenges and deliver with focus and determination.

ROLE PURPOSE

We are building a small focused innovation pod inside a fintech scale-up. The pods 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 pods operational foundations are built. You will shape the implementation; the pods 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 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 use it to diagnose real production issues
• Execute database and schema migrations safely with rollback paths that actually work
• Work alongside our Data Engineering function on the data platform the pod builds against
• Document what you build so production teams can inherit it

THE SKILLS AND EXPERIENCE WERE LOOKING FOR

• 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 standing up dashboards
• Experience running database or schema migrations in production including when they go wrong
• Comfortable in a small team without a large platform function behind you

Advantageous:

• Infrastructure as Code: Terraform Pulumi or Bicep
• Fintech or other regulated-environment experience
• Exposure to modern data tooling such as dbt or Snowflake
• Interest in agentic or AI-assisted development workflows
• A habit of documenting decisions: ADRs runbooks incident write-ups