QA Lead, Quality Assurance - QA​/QC, IT QA Tester ​/ Automation

At Umain, we help world leading brands and ambitious disruptors shape, ship and scale digital products and experiences.

As part of Eidra, a collective of leading agencies at the forefront of strategy, design, and technology, we extend that vision even further. Together, we collaborate with global brands, Scandinavian heroes, and ambitious startups to create market-defining products and experiences for the world's boldest companies.

We're looking for a QA Lead to take ownership of quality on our UK client engagements. You'll lead testing on real projects from day one: shaping the quality approach for the work in front of you, staying hands‑on in the detail, and helping the teams you work with ship with confidence.

You see testing as far more than checking features. You understand that the purpose of quality work is to make risks visible and reduce uncertainty, and you care as much about improving how teams build quality in as you do about finding defects. You're equally comfortable agreeing a test approach with a client stakeholder and pairing with a developer to integrate automated checks into a pipeline.

You're also fluent in how AI is reshaping quality engineering. You actively follow the field, you've put modern AI‑assisted tooling to work in real testing contexts, and you can help developers and QA engineers adopt these approaches responsibly and effectively.

As one of our early quality hires in the UK, you'll work alongside our Tech Director and a growing multidisciplinary team in London, and connect with experienced QA and engineering colleagues across the Nordics and the US. You'll help shape how we work as the team grows, but your focus is leading quality on client projects and lifting the teams you work with.

The role rewards someone who can self‑organise and generate momentum.

This role is based in our London office near London Bridge. As part of our expanding presence in the UK, you'll contribute to growing Eidra's footprint in the UK market, helping to establish our reputation for excellence.

Lead quality on your engagements

• Shape the quality approach:
  Define the test approach for the client engagements you work on: risk‑based testing, quality gates, and what "good" looks like at each stage of delivery
• Advise on release readiness:
  Help clients and project stakeholders understand quality risk, release readiness, and the trade‑offs behind go/no‑go decisions
• Support scoping:
  Contribute to scoping and estimation for the quality work on new and existing engagements
• Improve how we work:
  Share what works back into the team, and help shape testing practices and tooling as the UK team grows

Lead delivery hands‑on

• Test where it counts:
  Analyse user stories and requirements to identify risks and define test cases; design, execute, and maintain functional, regression, and exploratory tests
• Automate pragmatically:
  Build and extend automated tests for UI, API, and backend, and collaborate with developers to integrate them into CI/CD pipelines
• Make quality visible:
  Report and communicate quality insights clearly, focusing on what the results mean and the decisions they should inform

Coach, train, and raise the bar

• Develop the team:
  Coach the developers and QA engineers you work with on testing best practice, from test design and automation to building quality in earlier in the delivery flow
• Spread the craft:
  Run training, pairing, and knowledge‑sharing sessions that lift the whole team's capability rather than concentrating quality knowledge in one person
• Shift quality left:
  Champion quality as a shared team responsibility, helping teams own it themselves instead of treating QA as a final gate

Lead on AI for quality

• Adopt AI deliberately:
  Evaluate, pilot, and apply AI‑assisted testing tools (AI test generation, self‑healing automation, and LLM‑based exploratory approaches) where they add real value to the work
• Build AI literacy:
  Coach the teams you work with on using AI tooling effectively and responsibly, including its limits, and contribute to Umain's point of view on AI in quality engineering

Quality ownership

• Solid experience in QA or test engineering, including…