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Location
Hybrid (Hyderabad, India)
Seniority
Staff
Visa
Sponsors visas in United States, Ireland; no register of this country names it
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 9, 2026. Cognizant scores A on the Alion truth index.

Overview
Company
Impact
Profile match
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.

Job Summary

Lead Quality Engineer role for a global organization in the Asset and Wealth Management domain responsible for designing and executing robust test strategies across hybrid work environments. The role focuses on automation frameworks and continuous integration using tools such as Jenkins and Gitlab ensuring reliable delivery of Python based services and APIs. The candidate will collaborate with cross functional teams in day shift operations driving consistent quality for digital platforms tha

Responsibilities

  • Drive end to end quality engineering strategy for Asset and Wealth Management platforms ensuring that automation and validation activities align with regulatory expectations and client centric investment outcomes.
  • Design and implement scalable automation frameworks using Python Playwright PyTest and RestAssured to validate web interfaces backend services and integration layers across hybrid work settings.
  • Coordinate continuous integration and continuous testing pipelines in Jenkins and Gitlab optimizing build verification suites and test execution stages to reduce defects escaping into production environments.
  • Guide test planning and risk based coverage design for complex portfolio management trading and advisory workflows emphasizing accuracy of calculations reporting integrity and resilience under market stress scenarios.
  • Collaborate with product owners business analysts and engineering teams to refine acceptance criteria and translate Asset and Wealth Management domain rules into clear test cases and reusable automated scripts.
  • Monitor and analyze test metrics including defect trends test pass ratios pipeline stability and environment reliability using results to recommend targeted improvements to application architecture and team processes.
  • Coordinate root cause analysis for critical incidents across digital channels and advisor tools partnering with developers and operations teams to prevent recurrence and strengthen automated regression suites.
  • Maintain version control discipline in Gitlab repositories by organizing test assets enforcing branching guidelines and reviewing merge requests to protect the reliability of shared automation frameworks.
  • Mentor fellow quality engineers on best practices in Python based automation Playwright and PyTest usage API validation with RestAssured and continuous integration optimization to uplift overall team capability.
  • Partner with security and compliance stakeholders to incorporate nonfunctional checks and data protection scenarios into quality engineering practices supporting safe handling of client portfolios and personal information.
  • Coordinate test data design strategies that reflect diverse investor profiles product mixes and advisory scenarios ensuring that automated validation mirrors realistic Asset and Wealth Management usage patterns.
  • Document quality approach test strategies and automation standards in a clear and reusable manner so that distributed hybrid teams can consistently apply shared practices across releases and programs.
  • Engage in regular day shift ceremonies such as refinement and release readiness reviews to provide data driven quality assessments that inform go live decisions and long term product roadmaps.
  • Qualifications

  • Demonstrate strong experience in Python programming for test automation including creation of modular frameworks reusable utilities and maintainable test suites tailored to financial domain scenarios.
  • Bring deep hands on expertise with Playwright and PyTest to validate user journeys functional rules and cross browser behaviors for client and advisor facing Asset and Wealth Management applications.
  • Show proven ability to design and execute API test suites using RestAssured validating business logic data consistency and error handling for portfolio services and advisory integration endpoints.
  • Possess practical experience configuring and maintaining Jenkins and Gitlab pipelines for continuous integration and continuous testing including job orchestration artifact management and report publication.
  • Offer substantial domain understanding of Asset and Wealth Management including portfolio construction order flows compliance checks and investor reporting so that test scenarios reflect real world usage.
  • Apply solid skills in source control management and collaborative development workflows ensuring reliable evolution of test assets and coordinated contributions across hybrid distributed teams.
  • Exhibit strong analytical and communication capabilities to interpret complex financial requirements discuss quality implications with stakeholders and convert them into precise automated and manual tests.
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