Software Engineer 2 (Go)
Poznań, Poland
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 pay for related to the specific nature of your job
16" or 14" MacBook Pro with Apple Silicon processor and 36GB RAM, or a corresponding Dell with Windows (if you don’t like Macs) and other gadgets that you may need
Working in a team you can always count on — we have on board top-class specialists and experts in their areas of expertise
A high degree of autonomy in terms of organizing your team’s work; we encourage you to develop continuously and try out new things
Hackathons, team tourism, training budget and an internal educational platform, MindUp (including training courses on work organization, means of communications, motivation to work and various technologies and subject-matter issues)
If you want to learn more, check it out
Why is it worth working with us
We use, among others, Go, Python, K8s, Helms, Microservices architecture supporting high request rates on our business data bus. Utilizing extensive Big Data resources on GCP and incorporating Machine Learning into our operational workflows.
The IT team is made up of over 1700 members who have shared their knowledge at multiple conferences, such as DevOpsDays or Devoxx, and co-create a blog: allegro.tech
Microservices – a few thousand microservices and 1.8m+ rps on our business data bus
Big Data – several petabytes of data and Machine Learning used in production
We practice Code Review, Continuous Integration, Scrum/Kanban, Domain Driven Design, Test Driven Development, Pair Programming, depending on the team
Our internal ecosystem is based on self-service and widely used tools, such as Kubernetes, Docker, Consul, GitHub or GitHub Actions. This will allow you, from day one, to develop software using any language, architecture and scale, restricted only by your creativity and imagination.
To match the scale, we also focus on building entire Platforms of tools and technologies that accelerate and facilitate day-to-day development, and we ensure the best Developer Experience to our teams
Technological autonomy: you get to choose which technology solves the problem at hand (no need for management’s consent). You are responsible for what you create
Our deployment environment combines private Data Centers (tens of thousands of servers) and Public Clouds (Google Cloud and Microsoft Azure)
Over 100 original open source projects and a few thousand stars on github
We organize Allegro Tech Live event, a 100% remote version of our offline Allegro Tech Talks meetups, and we make guest appearances at the invitation of such communities as Warsaw AI, JUG (Poznań, Łódź, Lublin, Wrocław), WG .Net, Dare IT, Women in Tech Summit
We focus on development as well. We organize hackathons and internal conferences (e.g. the annual Allegro Tech Meeting), our employees regularly participate in events both in Poland and abroad (Europe and USA), and each team has its own budget for training and study aids. If you want to keep growing and share your knowledge, we will always support you
This may also be of interest to you:
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Job Profile
RestrictionsHybrid work model
Benefits/PerksAnnual bonus English classes Fringe benefits Fringe benefits cafeteria High autonomy High degree of autonomy Hybrid work Hybrid work model Internal educational platform Training budget
Tasks- Code reviews
- Design scalable solutions
- Develop software
- Implement advanced techniques
- Manage traffic efficiently
Azure Big Data Code Review Consul Continuous Integration Docker GCP GitHub GitHub Actions Go HTTP Kanban Kubernetes Machine Learning Microservices Nginx Pair Programming Python Scrum Test Driven Development Varnish
Timezones