Software Engineer (Go)

Posted:
5/4/2026, 6:04:15 PM

Location(s):
Kaunas County, Lithuania ⋅ Kaunas, Kaunas County, Lithuania ⋅ Vilnius, Vilnius County, Lithuania ⋅ Vilnius County, Lithuania

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
Software Engineering

Workplace Type:
Hybrid

We’re a team of 500+ professionals who develop cutting-edge proxy and web data scraping solutions for thousands of the world’s best known businesses, including Fortune 500 companies. 

What’s in store for you:
You’ll be solving complex challenges and maintaining our own infrastructure with 60PB+ monthly data traffic. Here are its scale and maturity in numbers:

- 6PB+ Ceph storage
- 60PB+ monthly data traffic through our systems
- 300k+ service requests/sec processed
- 500k+ Kafka messages/sec streamed

Join us at a stage where your work actually moves the needle. The product is still young, the customer base is growing fast, and there’s a lot of space to shape both the tech and the product itself. You won’t be just closing tickets – you’ll be helping to decide what we build, how we build it, and how it scales.

You’ll work with a modern stack (Go, Kubernetes, MySQL, Kafka, Redis, monitoring, headless browsers) and real-world problems around scraping, browser automation, stealth techniques and AI agents. If you like digging deep into how things actually work – from infrastructure to browser internals – you’ll feel at home.


It’s a small, hands-on team where ownership is real: you can talk directly to customers, ship features end-to-end, and see your impact quickly. The flip side: the product is growing and changing, so we’re looking for someone who’s flexible, curious, and wants to grow together with it – not someone who needs a fixed roadmap and golden processes. If you enjoy building, experimenting and improving both the product and yourself, this is a good place to do it.
Up for the challenge? Let’s talk!

Oxylabs

Website: http://www.oxylabs.io/

Headquarter Location: Vilnius, Vilniaus Apskritis, Lithuania

Employee Count: 251-500

Year Founded: 2015

IPO Status: Private

Industries: Big Data ⋅ Business Intelligence ⋅ Cloud Data Services ⋅ Data Integration ⋅ Data Mining ⋅ Information Technology ⋅ Software