S

Source

Global data ecosystem linking intelligence providers

Senior Backend Engineer

Backend EngineeringUpdated on Nov 7
Full-timeRemote in PolandRemote

About the Job

Requirements

  • Strong experience in at least one object-oriented programming language.
  • Ability to work with industry-standard artificial intelligence tools, including large language models, while balancing code quality and speed without compromising reliability or architecture.
  • Ability to work in a programming-language-agnostic environment and eagerness to learn and develop backend engineering skills, including Python.
  • Comfort working in an infrastructure-heavy environment.
  • Proven experience designing and scaling application programming interfaces.
  • Familiarity with distributed systems and asynchronous architectures.
  • Willingness to understand deep networking concepts, including Border Gateway Protocol, Classless Inter-Domain Routing, and autonomous system numbers.
  • Fluency in English.
  • Ability to work with a remote team.

Responsibilities

  • Build and maintain high-performance backend application programming interfaces that power the proxy infrastructure.
  • Own the design and delivery of services handling billions of requests daily.
  • Collaborate in an autonomous team to scope, plan, and execute work with minimal meetings.
  • Investigate and resolve production issues across distributed systems.
  • Balance speed and quality by determining the appropriate trade-off for each situation.
  • Operate and improve containerized infrastructure.
  • Continuously improve system performance, observability, and cost-efficiency.

Desired Qualifications

  • Experience with Python.
  • Experience with very large datasets.
  • Experience with proxies or other networking-related technologies.
  • Experience with Go.

About the Company

Source

Global data ecosystem linking intelligence providers

The company operates as a data ecosystem that connects several independent tech firms—Oxylabs, Decodo, Webshare, ScrapingBee, Honeygain, and upcoming ventures—under shared standards, strategic support, and a commitment to responsible access to data. Each member company runs its own team and product, but they collaborate through common intelligence and scale to serve a wider market. Their approach is to provide a networked set of data tools and services that collectively enable customers to access and use data more efficiently. The goal is to empower the next generation of data-powered products and decisions by offering interoperable capabilities and scalable data access while maintaining clear accountability for data use.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
2012

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