Position Overview
Job Title
Automation Test Engineer
Role Summary
Candidate has strong hands-on experience with hardware/software manual and
automation verification testing and in executing design verification activities using
systems engineering management tools such as ALM and JAMA. Candidate has strong
scripting and CI/CD skills, hands-on experience with test or process automation, and
exposure to AI (e.g., using pretrained models or LLM APIs for simple classification,
document parsing, or assistants).
Key Responsibilities
Automation Development:o Build and maintain UI/API/Service test automation
o Develop reusable frameworks (e.g., Squish/Selenium/Playwright, REST
clients) with robust error handling, retries, and idempotency.
CI/CD & Quality Gates:o Integrate automation into Jenkins; enforce quality gates, artifact/versioning,
and traceability.
o Implement automated validations, reports, and dashboards for test
coverage and release readiness.
AI-Assisted Use Cases :o Use Azure OpenAI / Azure Cognitive Services for document extraction
(e.g., IFU, requirements, risk docs), text classification, or summarization.
o Build simple LLM utilities with guardrails (prompt templates,
token/cost/latency controls, redaction, logging).
o Partner with data/AI teams for complex use cases; ensure Responsible AI
and privacy compliance.Minimum Qualifications
3–5 years in automation, QA automation, DevOps, or systems engineering.
Familiarity with CT scanner hardware and imaging technologies.
Proficiency in Python, PowerShell/Bash, or TypeScript/JavaScript.
Hands-on experience with UI/API test automation
(Squish/Selenium/Playwright/Cypress/Robot Framework)
CI/CD pipelines ( GitHub Actions, Jenkins) and Git-based workflows.
Basic cloud experience (Azure preferred): Functions, App Service, Storage, Key
Vault, IAM basics.
SQL and data manipulation (CSV/JSON/Parquet); interacting with
REST/GraphQL APIs.
AI exposure: using pretrained LLM or cognitive service APIs for text
extraction/summarization/classification; prompt engineering basics; awareness of
context limits, cost, and latency.
Work Arrangement
Position may be performed on-site.
Flexibility to work in different shifts.