QA Automation Engineer
Keeper SecuritySalary not specified
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI, TechnologyIndustries
Requirements
- Bachelor's degree in Computer Science, Engineering, or related technical field
- 5+ years of QA engineering experience with strong fundamentals in software testing methodologies
- Experience with test automation frameworks (Selenium, Cypress, TestNG, or similar tools)
- API testing expertise including REST APIs, GraphQL, Postman, and integration testing
- Database testing skills with SQL proficiency and experience testing data pipelines
- Experience with cloud platforms (AWS, Azure, GCP) and understanding of distributed systems testing
- Programming skills in Python, Java, or JavaScript for test automation development
- Experience with CI/CD pipelines and integrating automated tests into deployment workflows
- Strong analytical skills with ability to identify edge cases and design comprehensive test scenarios
- Communication skills to collaborate effectively with cross-functional teams and document findings clearly
- Preferred Qualifications
- Experience testing applications that use LLMs and agentic systems in production environments
- Knowledge of performance testing tools (JMeter, LoadRunner, or K6) for high-scale systems
- Experience with real-time systems testing and event-driven architectures
- Background in enterprise software testing or business intelligence platforms
Responsibilities
- Design and execute comprehensive test strategies for AI applications, including model performance, accuracy, and reliability testing
- Develop automated test frameworks for enterprise integrations, APIs, and real-time data processing systems
- Perform end-to-end testing of agentic AI workflows and complex multi-system integrations
- Collaborate with engineering teams to implement continuous testing practices and quality gates
- Test cloud-agnostic deployments across AWS, Azure, and GCP environments
- Conduct performance testing for high-throughput enterprise workloads and scalability requirements
- Work with Product Managers and Technical Leads to define acceptance criteria and testing requirements
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What compensation and benefits does ShyftLabs offer for the QA Engineer role?
ShyftLabs offers a competitive salary alongside a strong insurance package.
Is this QA Engineer position remote or does it require office work?
This information is not specified in the job description.
What are the key skills required for the QA Engineer position?
The role requires 5+ years of QA engineering experience, expertise in test automation frameworks like Selenium or Cypress, API testing with REST/GraphQL, SQL proficiency for database testing, cloud platforms experience (AWS, Azure, GCP), and programming skills in Python, Java, or JavaScript.
What is the company culture like at ShyftLabs?
ShyftLabs emphasizes employee growth by offering extensive learning and development resources and focuses on creating value through innovation while working with Fortune 500 companies.
What makes a strong candidate for this QA Engineer role?
A strong candidate will have a Bachelor's degree, 5+ years of QA experience, and expertise in test automation, API testing, cloud platforms, and programming; preferred experience includes testing LLMs, agentic systems, performance tools like JMeter, and real-time systems.
ShyftLabs
Data-driven decision-making solutions for organizations
About ShyftLabs
ShyftLabs helps organizations adopt a data-first approach to their decision-making processes. Their services focus on establishing systems that enable companies to make quicker and more informed decisions based on data analysis. This approach allows businesses to gain insights that can keep them ahead of their competitors. Unlike other companies that may offer generic consulting services, ShyftLabs emphasizes the importance of data in driving decisions, ensuring that organizations can leverage their data effectively to enhance their strategic planning and operational efficiency.
None, CanadaHeadquarters
2018Year Founded
VENTURE_UNKNOWNCompany Stage
Data & Analytics, ConsultingIndustries
11-50Employees
Benefits
Health Insurance
Hybrid Work Options
Professional Development Budget
Risks
Increased competition from startups offering innovative, cost-effective solutions.
Growing demand for in-house analytics teams reducing reliance on consultants.
Rapid AI advancements may outpace ShyftLabs' current technology offerings.
Differentiation
ShyftLabs specializes in data governance, warehousing, and predictive analysis services.
The firm empowers organizations with a data-first approach for decision-making.
ShyftLabs establishes processes for faster, insightful decisions to outpace competition.
Upsides
Increased demand for data governance due to stricter privacy regulations.
Growing interest in predictive analytics in retail for inventory optimization.
Rising adoption of cloud-based BI tools among SMEs for cost-effectiveness.
Related Jobs
RemoteRemoteEmbedded Software Test Engineer | Airborne Software
Beta TechnologiesSalary not specified
- Full Time
- Mid-level (3 to 4 years)
RemoteSoftware Engineer, API
Headspace$120,000 - $160,000/year
- Internship
- Mid-level (3 to 4 years)
RemoteQA Engineer
TailscaleSalary not specified
- Full Time
- Junior (1 to 2 years)
RemoteTest Automation Engineer
TailscaleSalary not specified
- Full Time
- Junior (1 to 2 years)
RemoteSenior QA Engineer
Flock SafetySalary not specified
RemoteQA Automation Engineer, Performance
Keeper SecuritySalary not specified
RemoteStaff Software Development Engineer in Test (SDET)
Assured$160,000 - $190,000/year
- Full Time
- Senior (5 to 8 years)
RemoteApplied Research Lead, Model Scaling
RunwaySalary not specified
- Full Time
- Junior (1 to 2 years)
RemoteStaff Integration Engineer
ChainalysisSalary not specified