Quality Analyst ensuring software quality in banking. Focused on technical and functional testing within agile frameworks.
About the role
- Join ORBCOMM as a QA Automation Engineer focusing on data engineering and AI tools. Design and maintain automation frameworks to ensure quality and performance in large-scale systems.
Responsibilities
- Join us as a QA Automation Engineer – Data Engineering & AI Tools!
- Create, own, and execute automated and manual tests derived from requirements to ensure system performance and a high-quality user experience
- Design, enhance, and maintain robust automation frameworks and infrastructure for large-scale systems and data pipelines
- Implement AI-driven tools and techniques to optimize test coverage, test generation, and defect detection
- Identify, troubleshoot, and report functional and performance issues
- Collaborate with cross-functional QA teams to align on testing procedures and best practices
- Contribute to automation frameworks and assist other QA teams with their automation efforts
- Ensure test coverage is comprehensive across applications, APIs, integrations, and data workflows
- Continuously explore opportunities to improve QA processes, tools, and frameworks by leveraging modern technologies from ORBCOMM’s partner ecosystem
- Work closely with data engineering teams to validate data pipelines, data quality, ingestion processes, and transformations
- Develop and maintain automation suites across API, data, backend, and (optional) UI layers
Requirements
- A Bachelor’s degree in Computer Science or a related field
- 3+ years of hands-on experience in QA automation engineering
- Strong experience with Python and a broad set of automation engineering skills (preferably “30-engineer-level skills” –deep, well-rounded automation expertise)
- Experience designing or maintaining large-scale automation frameworks on modern infrastructure
- Understanding of data engineering QA (validating data pipelines, ETL processes , data integrity, transformations, streaming data)
- Experience using modern AI tools or AI-powered automation frameworks to accelerate testing
- Ability to evaluate new tools, technologies, and partner solutions and incorporate them into the automation ecosystem
- Experience in automated testing and proficiency in scripting/OOP languages such as Python, JavaScript, or Java
- Experience with query languages such as SQL, Flux, and/or PromQL
- Strong understanding of binary data manipulation
- Ability to quickly learn and adapt to new programming languages, frameworks, and tools
- Experience with web development, performance testing, and UI testing tools like Selenium or Playwright (preferred but not required)
- Experience with analytics/visualization platforms such as Grafana—an advantage
- A collaborative mindset and strong communication skills, with the ability to thrive in an agile, fast-moving environment
- Commitment to continuous learning in digital and AI literacy
Benefits
- health and wellness coverage
- paid time off
- retirement or savings programs
- flexible work arrangements
- insurance coverage
- lifestyle perks
- access to employee discounts
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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