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Qa Test & Release Management Resume

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Mclean, VA

TECHNICAL SKILLS

Tools: JIRA, HP Quality Center, AWS, Selenium, HP QTP/UFT, Bugzilla, FogBugz, AWS, Soap UI, Postman, HockeyApp, Logentries, Testflight, Remedy, Robotium

Languages: HTML, CSS, SQL Queries, JavaScript, VBScript, XML

Database: MySQL, PostgreSQL, Orcale DB & Oracle Forms

Methodologies: SDLC - Waterfall, Agile, SCRUM

Testing: BlackBox, UAT, A/B, Regression, Exploratory, Unit, Integration, Automation

Application: Native Desktop, Java Web Applications, iOS, Android, RESTful APIs

PROFESSIONAL EXPERIENCE

Confidential — Mclean, VA

QA Test & Release Management

Responsibilities:

  • Created a process of software testing, documentation and quality management in a multi-tiered, multi-environment software application that uses AGILE development and delivery practices.
  • Performed Smoke, Regression, Sanity & Unit tests for a mobile virtual network enabler (MVNE) platform.
  • Lead internal QA team's testing, reporting and bug cycle efforts.
  • Created and standardized regression test plans and test cases.
  • Analyzed, recreated and assigned defect tickets to respective development teams based on the nature of the bug.
  • Gathered requirements and created valid use-case scenarios in an ever-changing development environment.
  • Performed hands-on REST API testing using tools such as POSTMAN and SOAP UI.
  • Conducted end-to-end testing of an Operations Support System & Business Support System (OSS/BSS).
  • Tested back-end database validation and normalization using Oracle Forms.
  • Determined quality of software being delivered to multiple vendors by conducting end-to-end test scenarios in a production environment.
  • Provided testing support during the promotion of code from development to QA and production environments.
  • Tested the integrity and normalization of both daily and monthly report data using AWS Cloud (Amazon Web Services) platform.
  • Delivered metrics of software quality over several releases and AGILE sprints.

Confidential — Reston, VA

QA Analyst

Responsibilities:

  • Performed manual tests on both the Android and iOS platforms for a, driver safety mobile application capable of detecting various real-world driver behaviors.
  • Implemented and performed a Regression, UAT, A/B and Sanity tests based on goals, time allocated and end-user needs
  • Engineered custom test plans based on different layers of the application including the Sensor Analysis Library (SAL), Web portal application, iOS application & Android application.
  • Evaluated and tested the normalization of data within a PostgreSQL Database.
  • Analyzed and reviewed the normalization of log data on cloud platforms using AWS (amazon web services) and Logentries.
  • Collected data to improve and evaluate the performance of a machine learning algorithm that is integrated into the SDK.
  • Developed a process of testing and delivery to meet the demands of a fast-paced AGILE team with 3 week sprints.
  • Collaborated with team members daily to create unified status reports on testing efforts from multiple testers, including an outsourced resource.
  • Utilized the following tools for testing, tracking and collaborative efforts: JIRA, Confluence, Testflight, HockeyApp, Logentries, PostGresSQL, Google Drive, Sheets, Hangouts, Calendar, Gmail.

Confidential — Norwalk, CT

QA Analyst

Responsibilities:

  • Analyze & create test cases, use cases, Requirement Tractability Matrix (RTM) and standardized a system of requirement documents needed in both AGILE & Waterfall models.
  • Backwards compatibility, Regression, Alpha and Beta testing in live production environment
  • Perform A/B testing to ensure products meet business requirements and existing functionality
  • Manage and lead QA efforts for major projects from planning stages to production XML, Services and Back-end SQL normalization and validation testing
  • Using automation tools in existing platforms (Selenium Grid) to accelerate the testing cycle
  • Testing in Mobile web, Android and iOS applications
  • Analyze, report and manage risks within various products and layers of the web application. This mitigation effort minimizes customer impact when multiple projects and/or deployments are dependent on one another during production.
  • Communicating between several inter-dependent teams to prioritize code fixes based on business impacts and end-user needs.
  • Using the following tools to prioritize tasks and track defects: Asana, Jira, QAComplete & FogBugz

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