Lead Quality Engineer

Cognizant • Science & Engineering • IT Outsourcing & Dedicated Teams • 5 days ago
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Location
Remote (India)
Seniority
Staff
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 7, 2026. Cognizant scores B on the Alion truth index.

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Cognizant

Cognizant is an American information technology services and consulting company founded in 1994 as an in-house technology unit of Dun and Bradstreet in Chennai, India, and headquartered in Teaneck, New Jersey. It builds, integrates and operates software and infrastructure for large enterprises, with particularly deep positions in healthcare, financial services, insurance and life sciences, delivered by a global workforce of more than three hundred thousand people concentrated in India. Listed on Nasdaq, the company competes with the large Indian and global systems integrators and has reoriented its offerings around cloud migration, data platforms and AI-assisted engineering.
cognizant.com • HQ: Teaneck, United States • Cloud Consulting & Migration • Engineering Services • IT Outsourcing & Dedicated Teams • IT Consulting & Digital Transformation • Systems Integrators • 5000+ employees • Est. 1994
Tech stack of Cognizant
Backed by Peak XV Partners

Job Summary

Strong hand son expertise in performance engineering (load stress soak scalability).Ability to design production representative workloads using traffic patterns and growth assumptions.Execute chaos experiments under load using approved frameworks and tooling. Advanced use of Dynatrace / observability platforms for deep analysis and RCA. Integrate performance chaos validation into CI/CD pipelines (shift left continuous testing). Produce clear evidence based insights and recommendations

Responsibilities

Strong hands on expertise in performance engineering (load stress soak scalability).Ability to design production representative workloads using traffic patterns and growth assumptions.Execute chaos experiments under load using approved frameworks and tooling. Advanced use of Dynatrace / observability platforms for deep analysis and RCA. Integrate performance & chaos validation into CI/CD pipelines (shiftleft / continuous testing). Produce clear evidence based insights and recommendations for delivery teams

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