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Analyst Quality Engineering – Automation & AI

AT&T

Analyst Quality Engineering – Automation & AI

AT&T

IND:KA:Bengaluru / Innovator Building, Itpb, Whitefield Rd - Adm: Intl Tech Park, Innovator Bldg

·

On-site

·

Full-time

·

1w ago

Benefits & Perks

Learning Budget

Learning

Required Skills

Python

Robot Framework

Appium

Jenkins

GitHub Actions

API Testing

Shell Scripting

Groovy

Job Description:

R-98408 Analyst Quality Engineering – Automation & GenAI

Overview

Join the Agent Assist (Salesforce) automation team to build, maintain, and extend end-to-end automated test suites for Web, API and mobile flows. Work closely with developers, QA and DevOps to keep CI/CD pipelines and reporting reliable.

Key Responsibilities

  • Should have proven track-record in implementing GenAI use cases in Automation testing to improve overall efficiency
  • Design, optimize, and evaluate prompts for LLMs to achieve precise and contextually appropriate outputs across diverse use cases
  • Architect and implement dynamic context management strategies, including session memory, retrieval-augmented generation, and user personalization to enhance agent performance.
  • Integrate, fine-tune, and orchestrate LLMs within automation frameworks
  • Build and manage complex conversational and agent workflows using frameworks like Lang Graph to support multi-agent or multi-step solutions.
  • Implement testing, monitoring, and evaluation pipelines to continuously improve prompt effectiveness, context handling, and overall agent performance.
  • Design, implement and maintain automated test cases using Robot Framework and Python for Web, API and mobile (Appium) test suites.
  • Create and maintain mobile automation scripts (Appium) for i Pad test scenarios and troubleshoot device/session issues.
  • Develop and maintain CI/CD pipeline scripts (Jenkins, GitHub Actions) to run, collect and publish test results and reports.
  • Integrate and manage test reporting (Robot reports, HTML email templates, artifacts) and automate post-build steps.
  • Implement API tests (Playwright Request API or Python HTTP clients) and combine API+UI flows where needed.
  • Triage automation failures, debug flaky tests, and coordinate with product/dev teams to resolve CDEX/blocker items.
  • Write clear, maintainable test utilities, fixtures and helper libraries; enforce test data handling and tagging strategy.
  • Mentor junior automation engineers and participate in sprint planning, retrospectives and code reviews.

Required Skills & Experience

  • ~ 4 years professional experience in test automation or software QA.

  • Strong proficiency in Python and Robot Framework or Selenium with Java/Python or Playwright.

  • Hands-on experience with Appium for mobile automation (iOS/i Pad).

  • Experience writing/maintaining Jenkins pipelines and GitHub Actions workflows.

  • Familiar with API testing (requests, Playwright Request API or similar) and JSON/XML validation.

  • Solid knowledge of CI/CD, test reporting, artifact management and automated email notifications.

  • Comfortable debugging build failures, shell scripting, and reading/modifying Groovy pipeline scripts.

  • Basic understanding of SCM tools like GitHub, GitLab or SVN and project management tools like JIRA, Zephyr,etc.

  • Good communication skills and experience collaborating across QA, DevOps and engineering teams.

Nice-to-have

  • Experience with Playwright (Python) for API or UI tests.

  • Prior exposure to enterprise proxies, HAR recording and test parallelization.

  • Experience with test flakiness analysis and reliability engineering for tests.

  • Prior work experience with Salesforce automation.

Tools & Technologies

  • Selenium or Playwright, Robot Framework, Appium, Python or any other automation framework, GitHub.

  • Having exposure to Jenkins (Groovy pipelines) as pipeline and GitHub Actions.

Additional information (if any): Willing to work in Shift Duties, Willingness to learn is very important as AT&T offers excellent environment to learn Digital Transformation skills such as cloud etc.

Certification: Good to have Automation Testing Certifications

Education Qualification: Bachelor’s/ Master’s degree in computer science or related fields

Weekly Hours:

40

Time Type:

Regular

Location:

  • IND:KA:Bengaluru / Innovator Building, Itpb, Whitefield Rd
  • Adm: Intl Tech Park, Innovator Bldg

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

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About AT&T

AT&T

AT&T

Public

AT&T Inc., an abbreviation of its predecessor's original name, the American Telephone and Telegraph Company, is an American multinational telecommunications conglomerate headquartered at the Whitacre Tower in Downtown Dallas, Texas.

10,001+

Employees

Dallas

Headquarters

$186.83B

Valuation

Reviews

3.4

10 reviews

Work Life Balance

2.5

Compensation

4.0

Culture

3.2

Career

3.5

Management

3.0

45%

Recommend to a Friend

Pros

Good pay and compensation

Great benefits

Helpful staff and colleagues

Cons

Poor work-life balance

Management issues and incompetent supervisors

High pressure and unrealistic expectations

Salary Ranges

0 data points

Junior/L3

L3

L4

L5

L6

Principal/L7

Senior/L5

Staff/L6

Junior/L3 · Associate Data Scientist

0 reports

$106,875

total / year

Base

-

Stock

-

Bonus

-

$90,844

$122,906

Interview Experience

7 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

Online Assessment

3

Technical Interview

4

Final Round Behavioral Interview

5

Offer Decision

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Data Structures

System Design