Lead Quality Engineer

00069122076

Date published Aug 10 2026

Aug 10 2026

Location Bangalore / India

Bangalore / India

Bangalore

India

Job category Technology & Engineering

Technology & Engineering

Technology & Engineering

Work model Hybrid

Hybrid

Hybrid

Job SummaryStrong 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 recommendationsResponsibilitiesStrong 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 About Cognizant: Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant. Additional employment informationCompensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India. Apply now Save Saved Share

Job SummaryStrong 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 recommendationsResponsibilitiesStrong 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 About Cognizant: Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant. Additional employment informationCompensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India. Apply now Save Saved Share

Job SummaryStrong 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 recommendationsResponsibilitiesStrong 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 About Cognizant: Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant. Additional employment informationCompensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

Job Summary

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

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

About Cognizant: Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

About Cognizant:

cognizant.ai

Additional employment informationCompensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Additional employment information

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

[email protected]

[email protected]