Software Engineer 2 (Go)

Job Description

The salary range for this position is PLN 14 200 - 19 690 (contract of employment)

A hybrid work model that incorporates solutions developed by the leader and the team

The Technical Platform Teams provide the foundations for the structure and operations of the entire Allegro platform. This is where we build tools, development and infrastructure stacks and automation systems used by more than a hundred Allegro product teams and by the customer support department. We develop the full stack, starting from our own server room and private cloud, through containerization, mobile apps and application software to tools which offer AI support to our customers. At the same time, we are responsible for the performance, availability and security of the entire platform.

Our team is responsible for multiple proxying layers that handle gigabits of user (and bot) traffic every second. We use Varnish and Nginx, with advanced configurations and in-house solutions that allow us to efficiently manage traffic by:

• Shaping (blocking bots),

• Routing (directing user requests to the appropriate microservices),

• Caching (much to our CFO's delight, we've saved significant money on hardware).

By joining us, you will have a direct impact on Allegro's infrastructure. You will design and implement highly scalable solutions that employ advanced techniques to protect Allegro from increasingly sophisticated bots.

We are looking for people who:

• Are familiar with Go language (must have)

• Have practical knowledge about HTTP protocol

• Expect work that has a deeper meaning (not only tasks "management has commissioned") and want to enjoy its results

• Want to be proud of the code they create. They eagerly accept comments and share knowledge during code reviews

• Can look for effective solutions to the requirements set by users

• Want to constantly develop and update their knowledge

• Know English at B2 level

Nice to have:

• Experience with building services on top of Kubernetes

• Python

• Knowledge about ML classification algorithms

What we offer

• A hybrid work model that you will agree on with your leader and the team. We have well-located offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)

• Annual bonus up to 10% of the annual salary gross (depending on your annual assessment and the company's results)

• A wide selection of fringe benefits in a cafeteria plan – you choose what you like (e.g. medical, sports or lunch packages, insurance, purchase vouchers)

• English classes that we …