Project description

DXC / Luxoft Modernization Practice is driving large-scale legacy transformation programs — re-platforming critical enterprise systems to modern architectures and cloud-native ecosystems. We are seeking a QA Manager / Practice Lead to oversee both pre-sales quality strategy and delivery assurance across modernization initiatives. The role combines solution leadership, client engagement, and hands-on governance of distributed QA streams.

Responsibilities

Strategic QA Leadership

Define modernization-aligned QA frameworks, automation strategies, and quality gates for transformation programs.

Partner with Solution Architects and Delivery Leads during pre-sales to shape QA scope, estimates, and differentiators in proposals and RFPs.

Act as QA solution owner across client engagements — ensuring testing approaches are risk-based, scalable, and automation-first.

Drive adoption of continuous testing, shift-left QA, and AI-assisted quality analytics across modernization streams.

Represent the QA function in executive discussions, client governance boards, and internal modernization councils.

Delivery Management

Lead multi-project QA delivery spanning applications, data, APIs, and cloud migration.

Manage distributed QA teams, ensuring quality consistency, knowledge sharing, and reuse of automation assets.

Oversee the definition and implementation of modernization-specific test strategies (e.g., regression packs for refactored code, API-first validation, migration verification).

Define and track quality KPIs across modernization pipelines: defect density, automation coverage, velocity, and release readiness.

Establish quality dashboards and continuous improvement loops integrated with CI/CD pipelines.

Practice & Pre-Sales Enablement

Support RFP/RFI responses, client workshops, and proposal reviews with tailored QA strategy input.

Build standardized QA accelerators for modernization engagements (framework templates, reusable test libraries, metrics dashboards).

Evaluate and onboard modern QA tools and AI-powered accelerators (test generation, anomaly detection, quality prediction).

Mentor QA leads, develop internal playbooks, and establish delivery governance frameworks for modernization quality.

Skills

Must have

8+ years in Quality Assurance, with at least 3+ years in a QA Leadership or Practice Lead role.

Proven track record of leading QA for large-scale modernization, migration, or re-platforming programs.

Expertise in automation frameworks (Java, Python, Golang, or equivalent) and CI/CD integration (GitHub, Jenkins, etc.).

Solid understanding of test architecture, data migration validation, and system integration testing.

Familiarity with modernization patterns (Strangler Fig, replatforming, re-hosting, containerization).

Experience leading distributed, multi-vendor teams and managing client stakeholders.

Strong commercial acumen — able to support pre-sales, estimation, and deal solutioning.

Excellent communication and presentation skills with executive presence.

Nice to have

Experience using GenAI / AI tools for automated test generation and predictive defect analytics.

Knowledge of CAST, Tricentis, Testim, or similar modernization testing ecosystems.

Exposure to cloud platforms (AWS, Azure, GCP) and containerized test environments.

Other

Languages

English: C1 Advanced

Seniority

Lead

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