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Quality Lead

On-site in the UK·Added 1 month ago (last checked 22 Oct)

Brahma

10 open roles

Our summary

Skills

The role

Quality Lead

Location: Remote (Time zone UTC+0 - UTC+3)

About Brahma AI

Brahma AI operates at the intersection of enterprise Media Asset Management (MAM) and cutting-edge generative media. We build and scale industry-leading generative AI models, including hyper-realistic digital humans (ATMAN) and multilingual voice synthesis (VAANI), for world-class enterprise clients in entertainment, sports, healthcare, and retail.

Role Overview

We are looking for a Quality Lead to establish and drive the strategic quality framework across Brahma Studio-our high-fidelity digital human creation engine.
Reporting directly to the VP of Engineering, your primary objective is to build a modern, high-bar quality culture where quality is embedded into every stage of the engineering lifecycle. You will serve as a strategic coach to Studio developers across testing paradigms, establish system-level reliability standards, turn open-ended or subjective product expectations into objective benchmarks, and design streamlined, asynchronous workflows to partner seamlessly with our shared QA team.

Key Responsibilities

1. Quality Culture & Developer Coaching (40%)
  • Testing Architecture & Mentorship: Coach and enable Studio developers on designing comprehensive testing strategies-challenging them to think through integration workflows, system boundaries, and end-to-end failure paths.
  • Standards & Accountability: Establish clear quality standards, test coverage expectations, and pre-release accountability across Studio feature streams.
  • Shift-Left Integration: Partner with product and engineering leads during early architectural and PRD stages to ensure testability and quality criteria are defined prior to development.
2. Environment Health & Subjective Quality Benchmarks (30%)
  • System & Environment Reliability: Define testing strategies and operational health checks to challenge engineering teams on verifying pipeline execution, job execution health, and infrastructure stability across compute environments.
  • Subjective to Objective Benchmarking: Create structured frameworks to translate open-ended or subjective requirements-ranging from media output standards to UI responsiveness and executive performance targets-into measurable quality gates.
  • Exploratory Testing Frameworks: Design structured exploratory testing practices that empower teams to uncover unhandled edge cases and unexpected system behaviors outside automated suites.
3. Tooling Governance, Process & Shared QA Alignment (30%)
  • Quality Systems Governance & Adoption: Define and govern the ecosystem for test management, quality gate tracking, and release health documentation-focusing on driving consistent team adoption, enforcing usage standards, and maintaining accurate documentation rather than managing technical infrastructure.
  • Shared QA Integration: Architect clear, asynchronous test-case specifications and handoff protocols to collaborate efficiently with the shared QA team across time zones and organizational boundaries.
  • Release Governance & Post-Mortems: Monitor pre-release quality gates, participate in release risk evaluations, and lead root-cause post-mortems to continuously refine engineering practices.

Must Haves

  • Quality Leadership & Coaching: Proven track record as a Quality Lead or Quality Architect guiding engineering teams to adopt advanced testing methodologies, embrace end-to-end quality ownership, and challenge developers to uncover hidden system risks.
  • Translating Ambiguous Requirements: Exceptional ability to turn subjective or qualitative goals (e.g., performance expectations, UX polish, output fidelity) into clear, repeatable testing standards and acceptance criteria.
  • Process & Tooling Ownership: Experience selecting, structuring, and driving team-wide adoption of test management platforms, quality documentation workflows, and gate tracking metrics.
  • Cross-Team Collaboration: Demonstrated ability to build efficient, asynchronous workflows that align product development teams with shared QA resources across regions and time zones.
Nice to Have
  • System & API Architecture Awareness: Familiarity with web APIs, distributed systems, and backend integration flows-enough to effectively challenge engineers on edge cases, contract boundaries, and silent failures.
  • Experience defining quality or performance baselines for complex media pipelines, AI-driven applications, or non-deterministic systems.
  • Experience operating in scaling, high-growth engineering organizations undergoing rapid integration.

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