We are looking for a Quality Engineer who combines strong technical testing instincts with a genuine curiosity about how software breaks. In this role, you will own the quality signal for your pod — building the systems, tests, and habits that let the team ship fast without shipping broken things, while working as a true peer alongside product engineers and PMs rather than as a downstream QA function.

This is a full-time role based in Sofia. We ask that you join us in the office three times a week, as we value in-person collaboration and see real benefit in the connections it creates.

Some of the things you'll work on:

• Design and maintain automated test coverage across unit, integration, and end-to-end tests as a shared, versioned part of the codebase.
• Build and maintain the tooling that gives the pod fast, reliable feedback, including CI pipelines, test environments, synthetic data, and monitoring hooks.
• Spot gaps in test coverage before they become incidents, and make the case for closing them with evidence.
• Surface risk clearly so the pod can decide with confidence whether to ship, delay, or ship with a flag.
• Bring a user's-eye view into planning conversations, flagging edge cases and failure modes early in design and build.
• Lead root-cause analysis on production issues within the pod's quality domain, with a focus on systemic fixes.
• Track quality trends over time, such as flakiness, escaped defects, and time-to-detect, and feed them into prioritisation discussions.
• Pair with other engineers on testing strategy, helping testing skill spread across the whole pod.
• Build features and fix bugs alongside the rest of the pod.

We're excited if you have:

• Proven experience in a quality or test engineering role on a product engineering team, or equivalent experience as a software engineer with a strong testing focus.
• A track record of building automated test coverage in a real production codebase.
• Experience building or maintaining CI/CD pipelines and test infrastructure, such as GitHub Actions, Jenkins, or CircleCI.
• Experience leading or contributing to root-cause analysis on production incidents.
• Solid coding ability in Python, strong enough to write production code rather than just test scripts.
• Confidence designing test strategy for a feature from scratch, knowing what to automate and what to leave to exploratory testing.
• Working knowledge of testing types relevant to the product, such as API, load/performance, or data pipeline testing.
• Familiarity with monitoring and observability tooling, such as Datadog or Grafana, to build signal into dashboards.

Why you'll love it here:

• Flexible working hours and home-office (2x per week)

• Internal shares programme (EDPP)
• Ergonomic workspace and cutting-edge technology
• Regular team events
• Modern offices
• Sustainable merch for all employees
• Adverity Social Responsibility Days (+2 days paid off)

Are you ready to apply?
The base salary we offer is EUR 30,000–40,000 gross per year. The final offer will match your experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

We look forward to meeting you!