Inductive Automation Logo

Inductive Automation

Software Quality Assurance Engineer I

Posted 6 Days Ago
Hybrid
Folsom, CA
95K-105K Annually
Entry level
Hybrid
Folsom, CA
95K-105K Annually
Entry level
The Software Quality Assurance Engineer I tests and develops both automated and manual tests for Ignition, validating features and reporting defects under the guidance of management.
The summary above was generated by AI
Job Description
 
The Quality Assurance Engineer I works under the guidance of a Quality Assurance Group Manager to develop and execute tests against all aspects of Ignition. They are responsible for developing, maintaining and executing automated and manual tests, and for reporting on the progress and status of test activities. This includes validating and verifying new and improved features with a variety of testing tools and approaches, including both automated and manual execution within multiple applications (desktop, front-end (Web), back-end (API), and mobile). Additionally, the Quality Assurance Engineer I will be directly involved in building and testing production versions of the system. This is a full-time position with hybrid and on-site opportunities available.
 
For those coming into the position with no Quality Assurance experience but with a CS/CE background, this role provides a different opportunity to leverage one’s technical aptitude. The role primarily involves a comprehensive and end-user focused approach to interacting with the software via testing, while still utilizing certain programming skills for automation test development and issue debugging.

Responsibilities

  • Validating low complexity issues (both bugs and features), adding test coverage where appropriate
  • Contributing to automated test cases at an introductory level (i.e., small fixes and enhancements to existing tests)
  • Participating in testing contributions within the development lifecycle including: validating bug fixes, conduct regression testing, and automation test case development
  • Consistently meeting target threshold for regression test suite execution; add manual test cases where appropriate with guidance from Senior Quality Assurance
  • Developing and executing test plans that cover all functional requirements, receiving consultation as needed for other applicable areas
  • Demonstrating sufficient proficiency in multiple Ignition product areas within the team's scope and adequately test those areas
  • Demonstrating autonomy by maintaining progress on assigned tasks and leveraging resources effectively
  • Collaborating with the team and department, working with development to better understand features and provide feedback about functionality, as well as effectively using senior resources to improve personal technical skills
  • Working to maintain a proficient understanding of the company, our customer base, our software (Ignition) and its purpose
  • Documenting and tracking defects using issue tracking tools, ensuring timely resolution
  • Staying up to date with industry trends and best practices in software testing
  • Demonstrating a strong inquisitive nature and attention to detail, especially in identifying or debugging defects

Requirements

  • Education and Training:
  • Bachelor’s degree in Computer Science, Computer Engineering or related field
  • 1 year of industry experience preferred not required
  • Skills:
  • Proficiency with at least one well-known programming language (Java, Python, JavaScript)
  • Good understanding of the SDLC (Software Development Lifecycle) and each of the phases
  • Experience interacting with and querying SQL databases (MS SQL Server, MySQL, similar)
  • Preferred, but not required:
  • Familiarity with Scrum/Agile frameworks and key concepts (core values of Agile, sprints, planning/retrospective meetings)
  • Familiarity with Windows, Linux (Ubuntu), and macOS platforms
  • Familiarity with source control management systems, such as Git, and common usage (clone and checkout of repositories and specific branches, commits and merge conflicts)
  • Familiarity with using virtualization software (VMWare, Docker Desktop), tasks like creating images, debugging running containers, and use of persistent data (volumes)
  • Experience with modern IDEs (Eclipse, IntelliJ IDEA, PyCharm)

About Us

Who are we?
Champions for industrial automation innovation and driven by a mission statement to empower our customers to swiftly turn great ideas into reality by removing all technological and economic obstacles, we create and deliver solutions that relieve pain points, bring efficiency to operations and optimize integration.

Why Choose Inductive Automation? 
Our passion goes beyond customers. We celebrate your personal and professional milestones, and we support our teams with meaningful work in a collaborative environment. 
 
We find that great work-life balance inspires teams to do their best work and empowers people to live their best lives. That's why diversity, fun, and flexibility are ingrained into our work culture.
 
The Inductive Automation team understands the importance of personal growth and social connection. So things like time for professional development, or company and team activities are baked right into the schedule to keep us all engaged, connected, and prospering. 

Benefits and Perks

100% Employee Covered Health Care: Don’t pay a dime for your medical, dental, and vision insurance.
Paid Time Off: Receive paid holidays, vacation, and sick time.
401k with Match: Save for the future with our company-matching 401k program.
World-Class Headquarters: While on-site, enjoy complimentary snacks and beverages, then challenge a friend to a game of pool, table tennis, shuffleboard, or foosball.
Adjacent Nature Reserve: On-site employees enjoy breathtaking views and adventures that energize and inspire.

Top Skills

Agile
Docker
Eclipse
Git
Intellij Idea
Java
JavaScript
Ms Sql Server
MySQL
Pycharm
Python
Scrum
SQL
VMware

Similar Jobs

16 Days Ago
In-Office
San Francisco, CA, USA
125K-145K Annually
Mid level
125K-145K Annually
Mid level
Software
As a Software Quality Engineer, you will develop and execute tests for industrial software, collaborate on quality standards, and enhance testing processes.
Top Skills: ArgoAutomated Testing FrameworksCargoCi/Cd ToolsGitlab Ci
23 Days Ago
In-Office or Remote
2 Locations
Senior level
Senior level
Software
The Software Quality Assurance Engineer will lead development activities, support feature completion, and drive non-functional requirements in a team focused on the 7750 Service Router.
Top Skills: IperfIxiaKvmLinuxNfvPerlPythonQemuSdnShellSpirentTclVmware EsxiWiresharkXen
10 Days Ago
Easy Apply
In-Office
Easy Apply
38-48 Annually
Entry level
38-48 Annually
Entry level
Software
Software Quality Assurance Engineer responsible for developing automated tests, collaborating with developers, and ensuring high software quality for StreamCaster radios.
Top Skills: C/C++DockerJenkinsPytestPythonSeleniumTcpdumpWireshark

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account