Quality Engineer

HCLTech; San Jose (CA); Hybrid; USD 110,000 - 150,000; Full time

Job summary

HCLTech is seeking a highly talented Quality Engineer to join our team in San Jose, CA. You will lead large QA programs, establish testing centers, and drive global testing delivery across multiple time zones and vendors.

The role emphasizes AI/ML-enabled QE approaches, strategic test planning, and strong stakeholder engagement with senior clients.

Qualifications

• Experience leading large QA programs and managing global testing delivery.
• Deep experience setting up testing centers/QA CoEs for large accounts.
• Strong end-to-end test lifecycle expertise including strategy, automation, performance, and data testing.

Responsibilities

• Mobilize engagements with a defined test strategy, staffing, tooling, and governance.
• Stabilize delivery on accounts facing issues across geography.
• Set up and run QA CoEs with operating model, staffing and tooling.
• Lead large-scale QA programs end-to-end across multiple workstreams (functional, automation, performance, data).
• Manage global testing delivery with distributed teams, time zones, and vendor models.
• Introduce and scale QE tooling, including AI/ML-based testing in engagements.
• Engage with senior client stakeholders during kickoff and recovery.

Skills

AI/ML in QE

End-to-end testing

QA Center of Excellence

Global QA programs

Customer-facing

Stakeholder management

Executive communication

Job description

HCLTech is looking for a highly talented and self- motivated Quality Engineer to join in advancing the technological world through innovation and creativity.

Job Title: Quality Engineer

Job ID: 149229

Position Type: Full Time

Location: Hybrid 4-days on site - San Jose, CA

We are looking for senior QE professional with deep experience leading large QA programs, setting up test centers and managing global testing delivery.

Key Responsibilities

• Ensure every new engagement (post-RFP win) mobilizes to a green start — test strategy, staffing, tooling, and governance defined from day one
• Step into existing accounts in the geography facing delivery issues and drive stabilization and turnaround
• Set up and run testing centers/QA CoEs for large accounts — operating model, staffing pyramid, tooling, and governance
• Lead large-scale QA programs end-to-end across functional, automation, performance, and test data workstreams
• Manage global testing delivery — distributed teams, multiple time zones, and multi-vendor/onshore-offshore models
• Introduce and scale the latest QE tooling, including AI/ML-based testing and agentic AI accelerators, into engagement setup and recovery plans
• Engage directly with senior client stakeholders during kick-off and account recovery situations

Primary Skills

• Current awareness of AI/ML and agentic AI developments in QE.
• Strong end-to-end test lifecycle expertise — strategy, functional, automation, performance, test data, DevOps integration
• Proven experience setting up and running testing centers/QA CoEs for large accounts
• Track record leading large QA programs and managing global testing delivery
• Significant customer-facing/onsite experience across the career (not mandatory going forward, but a strong track record)
• Working knowledge of the latest AI/ML and agentic AI developments as applied to QE
• Strong stakeholder management and executive-ready communication

Secondary Skills

• Experience with delivery governance, SLAs/KPIs, and account health metrics
• Multi-industry, multi-geography delivery exposure
• Experience partnering with sales/practice teams on post-win mobilization