QA Automation Engineer

Aziro Technologies Llc

San Jose, CA, United States

about 2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Automation of Tests Microsoft Outlook Cloud Computing Databases DevOps Distributed Systems Python (Programming Language) MongoDB Scrum Methodology

+26 more

E2e Testing Salesforce.Com Selenium Simple Object Access Protocol (SOAP) Software Testing Automation Framework Systems Integration Test Data Web Applications Web Testing Salesforce Communities Google Cloud Performance Testing Postman Database Optimization Integration Tests Kubernetes Slack Graphql Data Management Gsuite Hubspot Restful APIs Api Management Web Api Golang Microservices

Job description

Design, develop, and maintain automated test frameworks for web applications, APIs, and microservices.
Perform end-to-end testing across distributed systems running on Kubernetes and Google Cloud Platform.
Validate integrations with Salesforce, HubSpot, Google/Outlook Calendar, Slack, and third-party APIs.
Develop and execute API test suites using Postman, Python, and automation frameworks.
Collaborate with Product, Engineering, and DevOps teams to ensure high-quality releases.
Participate in Agile ceremonies, including sprint planning, stand-ups, retrospectives, and backlog refinement.
Create and maintain test plans, test cases, test data, and automation scripts.
Perform integration, regression, smoke, and performance testing.
Identify, troubleshoot, and resolve issues related to microservices, APIs, databases, and distributed systems.
Contribute to CI/CD pipelines and shift-left testing initiatives.
Support AI feature validation and testing for native AI-powered capabilities.

Requirements

We are seeking a highly skilled Senior QA Automation Engineer to join a fast-paced, startup-oriented team building a next-generation Revenue Intelligence Platform. The platform centralizes, cleans, and enriches revenue data from multiple sources to enable strategic decision-making across Sales, Finance, and RevOps teams.

The ideal candidate will have strong experience in both manual and automation testing, with expertise in distributed systems, microservices architectures, API testing, and cloud-native environments., * 5+ years of experience in QA engineering with strong manual and automation testing expertise.

Experience testing web-scale distributed systems and microservices architectures.
Hands-on experience with Selenium and test automation frameworks.
Strong API testing experience using Postman and Python.
Experience testing REST, SOAP, GraphQL, and third-party APIs.
Experience with Kubernetes, MongoDB, Temporal, and Google Cloud Platform (Google Cloud Platform).
Strong understanding of integration testing methodologies and test data management.
Experience working with Salesforce and/or HubSpot integrations.
Familiarity with CI/CD pipelines and Agile/Scrum environments.
Experience working in startup environments and building products from scratch

Preferred Qualifications

Experience with AI/ML feature validation.
Experience testing Slack, Google Workspace, Outlook, and call recording integrations.
Knowledge of performance testing and database optimization.
Familiarity with Golang-based applications.