Staff Software Engineer - mobile (m/f/n)
We're looking for a Staff Software Engineer to raise the quality bar across our mobile app and backend domain - not by owning a test suite, but by changing how the whole domain designs, ships, and trusts its software.
This is a hands-on technical leadership role. You'll shape architecture for testability and reliability, own the quality gates that let teams release with confidence, and build a culture where engineers own quality rather than hand it off. You'll operate as a true Staff Engineer: setting technical direction across several teams, going deep in the codebase when it matters, and framing quality as an engineering and business outcome - not a QA phase at the end.
If you've done this in a product with real mobile scale, even better.
Your scope of work will cover 3 areas.
I. Quality architecture & engineering
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Set and own the quality and reliability strategy across the domain - from the API/contract layer through to native iOS (Swift/SwiftUI) and Android (Kotlin) clients.
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Design for testability and release confidence: quality gates inside release and store-deployment pipelines, device and OS-version fragmentation coverage, and flakiness control at scale (BrowserStack + GitLab CI).
- Keep the backend/API/contract layer strong and connect it cleanly to the mobile client layer.
- Drive resolution of quality and reliability issues that cross team boundaries within the domain.
- Get hands-on in the codebase where your depth moves the needle - prototypes, tooling, reference implementations, thorny incidents.
II. Technical leadership, coaching & culture
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Shift quality ownership left into the engineering workflow - be the person teams pull in before implementation starts, not after.
- Mentor senior engineers across the domain and accelerate real, visible growth.
- Run knowledge-sharing across the org: tech talks, workshops, reusable documentation, pair sessions; co-lead the OneTech community.
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Co-shape the domain's technical direction with the SEM , with full autonomy within the domain, and analyse quality trends from metrics to identify where to improve.
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Define quality and reliability metrics and gates , and use them to frame risk in business terms for EMs, SEMs, and PMs.
III. AI governance in engineering
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Define how AI is adopted for quality and engineering productivity in the domain — which tools, which workflows.
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Design AI-assisted workflows and set governance and data-security standards across teams.
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Assess and manage the risk of AI usage (including production-facing work), not just the productivity upside.
- Mentor engineers on responsible, effective AI use and report on its ROI.
Must-have
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8+ years of software engineering experience , with a track record operating at Staff / Principal / Tech Lead / Architect level - proven impact beyond a single team (standards set for multiple teams, or a cross-team initiative led).
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Deep ownership of quality and reliability as an engineering discipline - you've set standards and designed testing/quality strategy (not just executed someone else's plan) and changed outcomes measurably.
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Proven shift-left experience - entering the process before code is written and measurably moving the result.
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A strong hands-on engineering foundation - you can read, review, and write production-quality code, and teams respect your technical depth.
- Experience leading technical and process change directly with development teams.
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A hands-on, critical relationship with AI - using it and assessing its risks, not just its benefits.
- Fluent English .
Strong plus - this is where you'll stand out
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Commercial, working-level experience building or testing native mobile apps (Swift and/or Kotlin) at real scale - a major bonus for this role.
- Experience with BrowserStack and CI/CD (GitLab) .
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Snapshot testing experience (e.g. swift-snapshot-testing, Paparazzi) and introducing mock-based testing standards.
- Experience in th