Interview: -
Candidates to perform technical assessment (client internally review the assessment test)
Candidates who move on will do a 30-60 minutes zoom interview - Review again.
Final round of in-person interview in charlotte office.
Must Skills: -
Deep understanding of APIs, modern technological approaches to testing
High degree of programming experience in Typescript or Python
High understanding of current AI/ML patterns and paradigms
Experience automating API tests and extensive knowledge of creating and leveraging mocks, stubs, and virtual services to fulfill test automation requirement
Proficiency writing code in Python
Responsibilities:
Help create a culture that motivates teams to ensure zero defects leak into production.
Work across teams to understand enterprise quality requirements and ensure adoption of core processes and standards.
Implement the shift-left test strategy for each line of business
Leverage open-source automation frameworks and tools across all levels of testing that integrate in the automated CI/CD pipeline.
Participate in the Agile (Scrum) team process, perform required standard testing activities keeping the customer experience top of mind during the testing process.
Work with internal teams to document test environment and test data management container strategies and provisioning for the different types of testing activities.
Comprehend and decompose user stories/requirements to identify what tests need to be created and automated across all levels of testing.
Qualifications:
5+ years of experience in testing automation engineering with both functional & API based testing
Preferred BS/MS in Computer Science, Engineering, or related subject
Required Skills & Experience:
Proficiency writing code in Python
Experience writing end to end test scripts utilizing multiple services and reporting results
Experience using SQL to join and query data across multiple tables and schemas
Experience with AWS services including
S3, Lambda, Dynamo DB, Cloudwatch, etc
Experience with CI/CD supporting technologies
GIT, GitLab, Docker
Experience with up-to-date AI paradigms
Large language models
Classification models
MCP
RAG
Dynamic prompting for LLMs
Automating tests for the full solution stack (unit, business logic, contract, usability, functional, performance)
Experience testing AI implementations and an understanding of the risks models pose to systems and the business at large
Major plus with direct experience in the following
Experience leaving feedback on Merge/Pull Requests to ensure teams follow best practices
Financial services technology / consumer banking testing experience
Experience with Genesys IVR and Salesforce is a plus
Extensive knowledge of:
White Box Testing practices
Software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control, build and release processes, continuous integration and continuous deployment concepts (CI & CD), and test suite development and maintenance
Working knowledge of:
Commonly used ML/AI Python libraries/packages
Spacy, nltk, etc
Experience in troubleshooting issues and root cause analysis
Possesses a deep understanding of shift-left test practices and techniques along with the frameworks, and tools that support it.
Strong written and verbal communication skills.
Enthusiastic and energetic with an inherent curiosity to break code.
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