Description:
At the heart of our platform we track performance marketing data and build a number of solutions to turn this data into useful information for our customers. We work with a lot of data, generating over a billion events across our infrastructure daily. We aim to make as much of this data available in real-time as possible, which is no mean feat at this scale! Our platform is powered by our REST APIs and everything is developed with an API-first approach.
The primary technologies we use are Python, PHP, JavaScript (React), and Kafka. Data is stored in MySQL, PostgreSQL, Druid and Redis. We are constantly evolving our platform and tools to take advantage of the ever-changing tech landscape. We deploy to production several times a day.
As a Python Software Engineer at Partnerize, you will:
- Be responsible for developing systems that process data at near real time for thousands of events per second, operating with data sets in the region of tens of billions of rows.
- Contribute towards mission critical systems for the business, helping us to scale our platform to meet the demands of our clients.
- Work closely with the lead architect to build services that are scalable, fault tolerant, and resilient.
- Write clean, well-tested and refactored code while keeping in mind maintainability and scalability of the system.
You are a software engineer with:
- Experience with developing distributed systems using services.
- A strong understanding of computing fundamentals such as object oriented development, data structures, low level architecture.
- Experience with developing systems with high concurrency, e.g. asynchronous programming models (Asyncio) using the FastAPI framework.
- Experience with large scale data processing and event stream models.
- Experience implementing systems that are fault tolerant, distributed, and horizontally scalable.
- Practical experience with Agile and Lean delivery approaches and modern engineering practices, such as clean code, TDD, refactoring, Continuous integration and delivery.
- Hands-on experience with technologies like Kafka, MySQL, Postgres.
- A keen interest in learning new technologies and keeping up to date with technology trends.
- A good understanding of QA best practices and technical documentation.
We hope you have:
- Experience with processing financial data.
- Experience in reverse engineering and problem solving skills, specifically the ability to understand existing systems written in PHP to reimplement.
- An understanding of operational principles, specifically Linux based systems