Demo

QA Automation Engineer

MACHINE LEARNING TECHNOLOGIES LLC
Princeton, NJ Full Time
POSTED ON 11/11/2026
AVAILABLE BEFORE 12/9/2026
  • Home
  • About
  • Adaptive AI
  • Industries
  • Consulting
  • Jobs Portal
  • Contact Us
  • Home
  • About
  • Adaptive AI
  • Industries
  • Consulting
  • Jobs Portal
  • Contact Us

Job Description

Job Overview

  • Job ID:

J54441

  • Job Title:

QA Automation Engineer

  • Location:

Princeton, NJ

  • Duration:

8 Months Extension

  • Domain Exposure:

Insurance

  • Client:

To Be Discussed Later

  • Employment Type:

W-2, 1099, C2C

  • Work Authorization:

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

View All Jobs

Similar Jobs

  • Full stack Software Engineer - Weehawken, NJ
  • AWS AI/ML Engineer - Austin, TX
  • Senior GenAI Engineer - Albany, NY
  • GPU System Engineer - Chicago, IL
  • Senior AI/ML Engineer GenAI & Cloud Solutions - Woodland HIills, CA

Job Title: QA Automation Engineer

Location: Princeton, NJ

Duration: 8 Months Extension

Bill Rate: $76/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description :

Hands-on QA Engineer covering both functional testing and automation, with ownership of the AWS-hosted regression framework and process — engineering fixes at framework and infrastructure level, not just running tests and analysing results.

Key Responsibilities:

  • Design and execute functional test cases; validate data directly via SQL.
  • Build, extend and refactor the core automation framework (UI, API and service layers).
  • Own the AWS automation framework — permanently fix cloud failure modes (container restarts, load balancer timeouts, DB connectivity and connection-pool exhaustion, S3/SQS integration, IAM/credential expiry, config drift) rather than re-running or masking them.
  • Harden environment provisioning, seeding, teardown and secrets management so runs start from a known-good baseline.
  • Implement resilience in the framework — retry with backoff, health checks and readiness gates, graceful handling of transient cloud failures.
  • Improve the end-to-end AWS regression process — reduce runtime via parallelisation and sharding, drive down flaky tests against measurable targets, and add failure trend dashboards and automatic artefact capture.
  • Analyse logs and stack traces to isolate root cause; classify failures as product defect, script defect, test data, environment or timing.
  • Integrate and maintain suites in CI/CD; partner with DevOps and Development to clear infrastructure blockers and communicate risk.

Required Skills:

  • 8 years QA across functional and automation.
  • Strong Java — able to write and debug framework code, not just scripts.
  • Selenium, Cucumber/BDD, solid SQL.
  • Proven experience debugging, fixing and improving automation frameworks in AWS (EC2/ECS, S3, SQS, RDS, CloudWatch, IAM).
  • Track record of measurably reducing regression runtime and flakiness.
  • Jenkins/CI-CD, Maven, Git.
  • Strong analytical mindset; able to work independently through intermittent, ambiguous failures.

Job Title: QA Automation Engineer

Location: Princeton, NJ

Duration: 8 Months Extension

Bill Rate: $76/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Key Responsibilities:

  • Design and execute functional test cases; validate data directly via SQL.
  • Build, extend and refactor the core automation framework (UI, API and service layers).
  • Own the AWS automation framework — permanently fix cloud failure modes (container restarts, load balancer timeouts, DB connectivity and connection-pool exhaustion, S3/SQS integration, IAM/credential expiry, config drift) rather than re-running or masking them.
  • Harden environment provisioning, seeding, teardown and secrets management so runs start from a known-good baseline.
  • Implement resilience in the framework — retry with backoff, health checks and readiness gates, graceful handling of transient cloud failures.
  • Improve the end-to-end AWS regression process — reduce runtime via parallelisation and sharding, drive down flaky tests against measurable targets, and add failure trend dashboards and automatic artefact capture.
  • Analyse logs and stack traces to isolate root cause; classify failures as product defect, script defect, test data, environment or timing.
  • Integrate and maintain suites in CI/CD; partner with DevOps and Development to clear infrastructure blockers and communicate risk.

Required Skills:

  • 8 years QA across functional and automation.
  • Strong Java — able to write and debug framework code, not just scripts.
  • Selenium, Cucumber/BDD, solid SQL.
  • Proven experience debugging, fixing and improving automation frameworks in AWS (EC2/ECS, S3, SQS, RDS, CloudWatch, IAM).
  • Track record of measurably reducing regression runtime and flakiness.
  • Jenkins/CI-CD, Maven, Git.
  • Strong analytical mindset; able to work independently through intermittent, ambiguous failures.

Apply Now

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

  • Home

|

  • About

|

  • Adaptive AI

|

  • Industries

|

  • Consulting

|

  • Contact Us

© 2004-2026, Machine Learning Technologies LLC, or its affiliates

Salary : $76

If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution. Compensation Planning
Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right. Surveys & Data Sets

What is the career path for a QA Automation Engineer?

Sign up to receive alerts about other jobs on the QA Automation Engineer career path by checking the boxes next to the positions that interest you.
Income Estimation: 
$83,431 - $103,091
Income Estimation: 
$106,113 - $127,991
Employees: Get a Salary Increase
View Core, Job Family, and Industry Job Skills and Competency Data for more than 15,000 Job Titles Skills Library

Job openings at MACHINE LEARNING TECHNOLOGIES LLC

  • MACHINE LEARNING TECHNOLOGIES LLC Dover, DE
  • Home About Adaptive AI Industries Consulting Jobs Portal Contact Us Home About Adaptive AI Industries Consulting Jobs Portal Contact Us Job Description Job... more
  • 5 Days Ago

  • MACHINE LEARNING TECHNOLOGIES LLC Wilmington, DE
  • Home About Adaptive AI Industries Consulting Jobs Portal Contact Us Home About Adaptive AI Industries Consulting Jobs Portal Contact Us Job Description Job... more
  • 5 Days Ago

  • MACHINE LEARNING TECHNOLOGIES LLC Rensselaer, NY
  • Home About Adaptive AI Industries Consulting Jobs Portal Contact Us Home About Adaptive AI Industries Consulting Jobs Portal Contact Us Job Description Job... more
  • 5 Days Ago

  • MACHINE LEARNING TECHNOLOGIES LLC Short Hills, NJ
  • Home About Adaptive AI Industries Consulting Jobs Portal Contact Us Home About Adaptive AI Industries Consulting Jobs Portal Contact Us Job Description Job... more
  • 7 Days Ago


Not the job you're looking for? Here are some other QA Automation Engineer jobs in the Princeton, NJ area that may be a better fit.

  • Apex Systems Virtual, NJ
  • Job#: 3058254 Job Description: Title: QA Automation Engineer Location: Remote Duration: 2 Month to start with Role Overview An experienced QA Automation En... more
  • 1 Day Ago

  • Ravh IT Solutions Princeton, NJ
  • Job Summary We are seeking an experienced QA Automation Engineer with strong hands-on expertise in Java, Selenium, SQL, and AWS. The ideal candidate will h... more
  • 2 Days Ago

AI Assistant is available now!

Feel free to start your new journey!