Ditto Hire · Cape Town, South Africa ·
Builds and maintains features in Python/Django for Ditto.Work, a recruitment operating system, including AI-driven candidate search, matching and automation over large datasets, while improving performance in an existing codebase. Core stack: Python, Django, SQL, Vue.js, Docker and Git.
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Ditto is a Cape Town-based recruitment technology company building software used by recruiters, hiring teams and job seekers across the world.
At the centre of what we do is Ditto.Work, our recruitment operating system. It gives recruitment teams one place to manage candidates, jobs, clients, communication, reporting, automation and the hundreds of moving parts that go into making a placement.
We've been building recruitment technology since 2016, and today Ditto processes millions of applications and sits behind the day-to-day hiring operations of recruitment agencies and companies across multiple markets.
AI is becoming a fundamental part of how we build our products. We're using it to rethink things like candidate search, matching and automation, particularly the enormous amount of valuable data sitting untouched inside recruitment databases.
We're not a huge corporate with six layers between an idea and something going live. We're a relatively small team building a fairly big product, which means the work you do here actually matters.
You'll see things you build go live, get used by real customers and, occasionally, get told very quickly when you've broken something.
We use the latest tools, especially in AI. AI coding assistants are part of how we work every day.
If you're curious about what these tools can do, and sceptical enough to know where they can't be trusted, you'll fit right in.
But tools don't solve problems. People do.
We're looking for engineers who enjoy hard problems: messy data, matching the right candidate to the right job at scale, improving large existing systems and making complex workflows feel simple to busy recruiters.
We're less interested in someone who wants to be handed perfectly written tickets all day, and more interested in someone who can understand a problem, ask the right questions and figure out how to solve it.
Our office is fast-paced, informal and very hands-on. We work hard, move quickly, laugh a lot and generally don't take ourselves too seriously.
There's very little corporate theatre here. You won't find endless meetings, layers of approval or people hiding behind job titles.
If you have a good idea, say it. If something is broken, fix it. If you need help, ask.
We're ambitious and expect people to take ownership of their work, but the environment itself is relaxed. There's plenty of banter, strong personalities and the occasional bit of organised chaos.
It's probably not the right place for someone looking for a very structured, traditional corporate environment.
But if you like autonomy, building things, solving problems and working with people who genuinely care about what they're doing, you'll probably fit in well.
Designing, building and maintaining features in Python and Django
Working directly with product, customer success and sales to turn real client problems into clear specs and working software
Building and improving AI-driven features, including search, matching and automation
Working with large datasets and improving the way we search, rank and understand candidate information
Finding and fixing performance bottlenecks and bugs before our users do
Improving existing systems rather than only building greenfield features
Writing code that the next engineer, or AI agent, can read, test and extend
Taking ownership of problems from initial idea through to production
4+ years of professional Python development experience
Strong Django experience
A solid understanding of software design principles and patterns
Strong SQL and database design skills
Front-end experience with HTML, CSS, JavaScript and Vue.js
Experience working with Docker
Comfortable working with Git and modern software development workflows
A good understanding of security best practices
The ability to work comfortably in an existing, evolving codebase
Strong problem-solving skills and the ability to work with a reasonable amount of ambiguity
Hands-on experience using AI coding tools or building with LLMs is a strong plus
We handle a significant amount of personal data, so privacy, security and POPIA are taken seriously.
Competitive compensation
Generous leave
A small, experienced team where your work has a visible impact
Direct access to the people making product and business decisions
A relaxed, informal office without layers of corporate nonsense
The freedom to experiment with new tools and technologies
Plenty of difficult problems to solve and room to grow with the company
Send us your CV and tell us about the hardest technical problem you've solved.
What made it hard?
How did you approach it?
And knowing what you know now, what would you do differently?
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