SDET/ QA AUTOMATION ENGINEER - INPERSON INTERVIEW AT GEORGIA- Only Locals- 11+years

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - 12 Month(s)
No Travel Required

Skills

Agile
Amazon Kinesis
Amazon Redshift
Amazon S3
Amazon SQS
Amazon Web Services
AngularJS
Appium
Cloud Computing
Cucumber
Continuous Integration
Database

Job Details

Nithin Mohan

11:10AM (1 minute ago)
to me, hari, ajay, Jey

*FINAL ROUND IN PERSON AT GEORGIA*

*Georgia candidates preferred *

Position: SDET/ QE AUTOMATION ENGINEER

exp: 11+ to any

Location: Alpharetta GA (Hybrid 3 days onsite & 2 days offsite)

Job Description

Must-Have Skills

    • Cloud-Native Application Development: 3+ years. Solid experience with software QA methodologies, tools, and processes, specifically in a cloud-based environment

    • Frontend and backend software testing: 5+ years experience working in a TDD/BDD environment and can utilize technologies such as JUnit, Rest Assured, Appium,

      Jbehave/Cucumber frameworks, APIs (REST/SOAP)

    • Java Experience: 5+ years of general proficiency with Java; in the context of writing test cases

    • Frontend Development and testing: 3+ years with Angular, JavaScript, TypeScript, or modern web application development frameworks; Jasper, Jest and other unit testing frameworks. Salenium, Cucumber, and other integration testing frameworks

    • Architecture Knowledge: Understanding of modular systems, performance, scalability, security

    • Agile Experience: Agile development mindset and experience

    • Service-Oriented Architecture: Knowledge of RESTful web services, JSON, AVRO

    • Application Troubleshooting: Debugging, performance tuning, production support

    • Test-Driven Development: Unit, integration, and load testing experience and profiling (e.g. Java JVM, Databases) and tools such as Load Runner, JMeter

    • Documentation Skills: Strong written and verbal communication

    • General SDLC: Experience with CI/CD concepts and can use tools including Jenkins/Bamboo, and release management concepts. Understanding of Google Cloud Platform services related to big data like BigQuery, Dataflow, Pub/Sub,GCS, Composer/Airflow. Or, similar solutions in AWS: Redshift, SNS, SQS, S3, Kinesis and others

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