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  1. Job Roles
  2. >
  3. Automation Architect

Automation Architect

What does a professional in this career do?

The automation architect is a senior-level position that collaborates with senior stakeholders to determine and direct the business’s automation goals. Once the automation architect has established a set of automation goals, he or she develops an automation initiative to guide the enterprise-wide implementation of new tools and processes.

In this job you will...

  • Provide technology leadership for enhancing test automation capability at the organizational level
  • Ability and proven experience in advising clients on test automation strategy, setting direction for long term automation plan, bringing in best practices and RoI evaluation
  • Possess in-depth knowledge of multiple open source/commercial tools for Web test automation (QTP/ UFT, Selenium, Test Complete, Coded UI, Tosca, etc.) and Mobile test automation (Ranorex, Appium, Robotium, SeeTest, etc.)
  • Web and mobile testing (iOS, Android, and Windows), automation frameworks, Continuous Integration tools (Jenkins), and infrastructure for automation
  • Sound understanding of agile and DevOps methodologies, concepts
  • Having competencies around DevOps, Continuous Testing, Continuous Integration, and Continuous Delivery
  • Understanding of non-functional testing and ability to integrate the same within automation solution
  • Serving as an expert in defining and rolling out standard Automation Frameworks, in line with latest industry trends (Robot Framework, Scriptless automation, etc.)
  • Providing end-to-end delivery support for testing engagements
  • Actively participating with sales executives in client meetings and helping sell QA services
  • Working on Sales Support for RFP’s
  • Reviewing and implementing best-fit solutions among options evaluated
  • Establishing baseline requirements for the project with the Client and developing estimates
  • Ability to implement quantitative test process measurement techniques
  • Integrating manual and automated test effort
  • Preparing and carving out service offerings
  • Understanding software quality best practices, test strategy and planning, test case development, test case execution, deployment and, test data, defect tracking, and test automation

Skills You Will Gain

Appium
Coded UI
Mobile test automation
QTP
Ranorex
Selenium
Tosca
UFT
Web test automation

Representative Journeys

Big Data Fundamentals
Big Data FundamentalsPraba Santhanakrishnan, Mark Kerzner, Rod Davison | Data Science | 11 hrs and 55 mins

Launch Journey

big-data-services-on-microsoft-azure
Big Data Services on Microsoft Azure
Praba SanthanakrishnanSkills: Azure Data FactoryAzure HDInsight clusterData WarehouseDatalake
spark-and-elasticsearch-for-big-data-analytics
Spark and Elasticsearch for Big Data Analytics
Mark KerznerSkills: Data ScienceElasticsearchReal-time indexingSearch and Data-AnalysisSpark
big-data-hadoop-and-spark-developer-in-amazon-elastic-mapreduce
Big Data Hadoop and Spark Developer in Amazon Elastic MapReduce
Rod DavisonSkills: Amazon Elastic MapReduce (EMR)Big DataData ScienceHandoopSpark Developer
understanding-and-applying-key-tools-for-big-data-analytics
Understanding and Applying the Key Tools for Big Data Analytics
Mark KerznerSkills: Big Data analytics toolsCloud-based analyticHive

Journey Completed

Becoming an Agile Expert
Becoming an Agile ExpertAbbey Wiltse | Agility | 1 hrs and 35 mins

Launch Journey

agile-and-scrum-in-action
Agile and Scrum in Action
Abbey WiltseSkills: Agile Release PlanningAgile ScrumAgility
agile-release-planning
Agile Release Planning
Abbey WiltseSkills: Agile ScrumAgility

Journey Completed

Foundations of Python and Data Science
Foundations of Python and Data ScienceMatt Harrison, Woody Lewenstein, Theodore Petrou | Data Science | 32 hrs and 40 mins

Launch Journey

python-foundations-tools-and-techniques
Python Foundations, Tools and Techniques
Matt HarrisonSkills: EditorsREPL
getting-started-with-pandas
Getting Started with Pandas
Matt HarrisonSkills: JupyterPandas
practical-statistics-for-business-and-data-science
Practical Statistics For Business and Data Science
Woody LewensteinSkills: Data ScienceData VisualizationProbabilityStatistics
master-data-analysis-python
Master Data Analysis with Python
Theodore PetrouSkills: Data AnalysisData SciencePandasPandas DataFramePython

Journey Completed

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DevOps Architect

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DevOps Engineer

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Cloud Automation Engineer

Cloud Automation Engineer

Alternative job titles

  • Platform Engineer.
  • Build Engineer.
  • Reliability Engineer.
  • Release Manager.
  • Data Analyst.
  • Product Manager.
  • DevOps Engineer.

SOME OF THE INSTRUCTORS AND EXPERTS SUPPORTING YOU ON THESE JOURNEYS

Big Data Services on Microsoft Azure

Big Data Services on Microsoft Azure

Spark and Elasticsearch for Big Data Analytics

Spark and Elasticsearch for Big Data Analytics

Understanding and Applying the Key Tools for Big Data Analytics

Understanding and Applying the Key Tools for Big Data Analytics

Big Data Hadoop and Spark Developer in Amazon Elastic MapReduce

Big Data Hadoop and Spark Developer in Amazon Elastic MapReduce

Agile and Scrum in Action

Agile and Scrum in Action

Python Foundations, Tools and Techniques

Python Foundations, Tools and Techniques

Getting Started with Pandas

Getting Started with Pandas

Agile Release Planning

Agile Release Planning

Practical Statistics For Business and Data Science

Practical Statistics For Business and Data Science

Master Data Analysis with Python

Master Data Analysis with Python