Lead Backend Engineer - Tech Evangelist

• Permanent contract and 30 days of paid holiday

• Hybrid and flexible: 2 days a week in the Barcelona office (Tuesday is team day)

• One week per quarter in Stockholm with your peers

• A yearly Hack Week, and many of its projects make it into the product

• Private health insurance, a pension plan, flexible compensation and meal vouchers

• Free access to the streaming platform: sports, originals, films and live channels

Half code, half influence. Ready to shape how millions of viewers become customers?

At Q-tech, we collaborate with one of Europe's leading streaming and entertainment groups, present in 11 countries and home to top-tier live sports such as Formula 1 and premier European football, as well as original series, films and live channels. Every sign-up, checkout, payment and subscription runs through their Commerce platform, which is the moment a viewer becomes a customer.

They are opening a new technical leadership role in their Barcelona hub. They are looking for a hands-on Senior or Lead Engineer who loves writing code and is just as eager to share knowledge, raise the technical bar and lead initiatives that affect the whole company. You'll spend about half your time coding and the other half guiding 4-10 teams towards better technical decisions. This role has no people or budget management. Your impact comes from technical influence and evangelism.

Hands-on engineering

• Build scalable, resilient backend services in Node.js and TypeScript (with some Rust) on AWS.

• Drive the evolution from microservices and legacy components to an event-driven, serverless architecture (Lambda, DynamoDB, SQS, SNS) while keeping complexity under control.

• Design integration strategies with third-party payment providers and commercial platforms.

• Write real production code, including outside your own domain when another team needs support.

Technical evangelism and company-wide initiatives

• Help define the technical direction of the Commerce platform in line with the long-term product vision.

• Act as the bridge between teams on cross-cutting problems, and help drive the engineering guilds and tech communities.

• Lead AI adoption in engineering: test what works (Copilot, spec-driven design, AI-assisted testing), share the trade-offs openly, and help other teams adopt it.

• Challenge the "why" before the "how": make sure the teams are solving the right problem.

• Mentor engineers and favour solid solutions over trendy ones. Help teams reach good decisions instead of imposing them.