ML Solutions QA Engineer: Backend/API Testing (Remote)

HireHi; United States; Remote; USD 90,000 - 120,000; Full time

Benefits offered by this job

Private health insurance

Sports activity compensation

Mentoring and onboarding systems

Corporate training portal

Job summary

Andersen is seeking a QA Engineer (auto) for machine learning solutions to join a team delivering data science products. You will test backend services, write automated tests with Pytest, and analyze logs using Open Lens or similar tools. The role requires Python proficiency, Linux, Bash scripting, and familiarity with Docker/Kubernetes, Kafka, and Kibana.

Remote/hybrid options available. You will collaborate with cross-functional teams, develop test plans, and contribute to CI/CD and QA

Qualifications

• 3+ years of QA experience in backend testing.
• Strong Python and Pytest proficiency for automated tests.
• Experience with Docker and Kubernetes.
• Basic SQL proficiency.
• Familiarity with ML basics.

Responsibilities

• Participate in all stages of the product lifecycle, from concept through deployment.
• Test backend services, analyze results, and identify issues.
• Develop and maintain test plans, test cases, and documentation.
• Write API automated tests using Pytest or other tools.
• Identify, document, and track bugs using a bug tracking system.
• Collaborate with cross-functional teams to clarify requirements.
• Perform regression testing to ensure stability after changes.
• Collaborate with TechOps to implement quality processes.

Skills

Python

Pytest

Linux

Bash scripting

CI/CD

RESTful APIs

gRPC APIs

SQL

Microservices

Teamwork

Machine Learning basics

English proficiency

Tools

Docker

Kubernetes

Open Lens

Kafka

Kibana

Job description

Andersen is seeking a QA Engineer (auto) for machine learning solutions to join a team delivering data science products. You will test backend services, write automated tests with Pytest, and analyze logs using Open Lens or similar tools. The role requires Python proficiency, Linux, Bash scripting, and familiarity with Docker/Kubernetes, Kafka, and Kibana.

Remote/hybrid options available. You will collaborate with cross-functional teams, develop test plans, and contribute to CI/CD and QA