Marsh McLennan

IT Quality Assurance Analyst

Gurugram - DLF Building Full time

Company:

Marsh

Description:

Role and Responsibilities

We are looking for a Quality Engineering Lead to join our Team at MMC.

Your Experience

A visionary forward thinker who views quality holistically andcan drive a quality engineering ethos throughout the POD. Understandingindustry trends around tools, methods, and practice - implementing where possible.You must be a team player who can work across many teams to establish shift left quality and test automation approach.

Things you will do:

  • Implements and oversees the test automation approach (working with all squads within the POD) to deliver the Test Automation Strategy including CICD, non functional testing - performance, security engineering, compatibility, accessibility testing

  • Testing AI/Gen AI business applications. Demonstrate usage of Gen AI in tooling & AI driven insights reporting. Creating/Reusing AI utilities/components for Testing.

  • Demonstrate usage of Gen AI for Testing optimization,comparisons ,code refactoring ,migrations

  • Drives out improvements and innovation around tooling, frameworks and approaches working on shift left first principles and the automation pyramid

  • Able to work constructively with other POD leads and Squad leads to ensure the best value is being driven through the automation approach and that the approach is consistent with other PODs where beneficial

  • Works with the POD leads and the business/POs to ensure there is a holistic and consistent approach to Quality (through RCA, metrics, code quality, (defect) stage containment) and ensures cross communication and collaboration on QA best practices, risks and open issues across other PODs

  • Leads and federates the overall test approach to the Squads - built-in quality, metrics, methods and tools

  • Leads process improvement initiatives focus on Quality, Velocity and Efficiency (agreed across the POD) e.g closer alignment to business acceptance, operations etc

  • Ensure consistency across all squads in line with POD strategy/maturity/priorities/global approach - undertaking quality reviews and deep dives to ensure there is a consistent approach

  • Input into PI planning, and subsequent resourcing planning - including skills profiling andidentify trainingrequirements for POD members

  • Identify supplier training requirementsand feed into global KPI and supplier measures

  • Provides timely reports with qualitative and quantitative analysis of test coverage, defect trends & leakage enabling key stakeholders (including Squad leaders) for timely course correction

  • Define and design quality metrics and dashboard to enable the Pod lead & PO to frequently gauge the quality of the software

  • Manage a team of Test Engineer leads and Test analysts

What you will bring:

  • Strong understanding of Test Engineering and Quality Assurance best practices, tools and policies

  • Experience in using Generative AI for testing activities and experience in testing AI/ML models

  • Proficiency in collecting , processing and assessing data quality and validating test data for AI frameworks, automation for AI powered applications

  • The ability to communicate effectively to both technical and non-technical colleagues in a cross-functional environment

  • Proven track record of successfully delivering Quality software solutions

  • Strong Leadership skills and a team player

  • Experience or knowledge of working with Agile at Scale, Lean and Continuous Delivery approaches such as Continuous Integration, Test-Driven Development and Infrastructure as Code

  • Experience in selenium tools and Configuring Selenium Test Environment (Ex: Eclipse IDE, Java, Selenium WebDriverIO and TestNG etc…). Involvement in Test Environment Setup

  • Familiar with Automation Framework Design and Implementation

  • Understanding of CI/CD and DevOps practices

  • Strong Self-starter and active squad contributor

  • Experience of testing software across a variety of languages, technologies, and platforms.

Technical Skills Required:

  • Proficient in the following Test automation languages and frameworks; Java, JavaScript, Selenium, WebDriverIO and TestNG, Cypress, RestAssured

  • Strong experience working with MSSQL, API test automation

  • Good understanding of working with a source control systems such as Azure DevOps/TFS, Github or Bitbucket

  • Experience working with Jira

Values and Culture

Our team comprises all sorts of people from all sorts of backgrounds. We believe everyone brings value and a unique perspective and want to promote a fun and diverse culture. To help us succeed we hope that you can demonstrate:

  • A genuine passion for technology

  • A clear commitment to creating brilliant products that will give our clients the edge

  • A willingness to work fluidly and respectfully with our talented team

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit corporate.marsh.com, or follow us on LinkedIn and X.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.