Senior Quality Assurance Automation Engineer

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.