SRE / DevOps engineer

• Manage a Kubernetes cluster with diverse applications running in it
• Maintain high reliability of services
• Employ monitoring systems to stay ahead of any issues
• Improve and innovate our processes and pipelines
• Scale systems with ever-increasing demands
• Develop and support applications in Python

Why join us? 

• Our Kubernetes clusters run on our own servers so we have control over everything 
• We use modern cloud-native technologies
• Deploy every day - changes for the customer are frequent and therefore quickly visible
• With small cross functional teams you can easily see the customer value of your work 
• We strive for a culture of learning and sharing knowledge

About you

• Experience with Linux
• Knowledge of using and developing containerized applications
• Experience writing Python
• Familiarity with CI/CD pipelines
• Enjoying making your (and others’) life easier with automation
• Aptitude for problem-solving
• Good knowledge of English

• Proficiency in managing a Kubernetes cluster
• Familiarity with Python asyncio or asynchronous programming in other languages
• Experience with Prometheus and Grafana
• Knowledge of the Elasticsearch/FluentD/Kibana stack
• Understanding of computer networking concepts
• Familiarity with the RabbitMQ message broker
• Knowledge of PostgreSQL (and TimescaleDB)

Our blog posts and talks from conferences

• Algorithmic trading with asyncio
• Feeding a real-time user interface
• Bringing C performance to Python code
• Building an algorithmic trading platform in Python 3
• Python, Docker, Kubernetes, and beyond ?
• Static typing: beyond the basics of def foo(x: int) -str:

...for more technical content, you can visit our blog or you can listen to the podcast with our CTO Víťa.

About DEV team

The development team is an irreplaceable part of our business at Quantlane. Our trading platform allows traders to interact with stock exchanges on three continents in real time. Under the hood, we set up data centers across the globe and develop applications that transfer and record high volume, low-latency data. Because our code handles money in real time, we make sure the services we make are reliable, well-tested, and diligently reviewed before they run in production.

Our day begins with a brief stand-up meeting, where we prioritize tasks for the day. During the day, we take turns in the on-call support role to make sure that the trading team can trade at all times. In the afternoon, we keep an eagle eye on code reviews to ensure that nobody’s work is held back by another team member. Most importantly, we do our best to deliver clear and well-tested code. We use up-to-date versions of Python along with a variety of code style checkers, Mypy for type checking, and Orange, our fork of Black, for automatic formatting.

Quantlane maintains a complex infrastructure of services that allow us to deliver data from stock exchanges to our human and algorithmic traders, and back, in a split second. Since every developer is responsible for the whole life cycle of their work, from design, through implementation, to deployment, we can iterate quickly. Diligent code reviews and testing ensure that we always learn from our mistakes.