qa engineer (auto) for machine learning solutions

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

qa engineer (auto) for machine learning solutions

Andersen develops data science solutions and supports clients across financial services, healthcare, retail, and telecommunications. The customer is a global investment management firm providing tailored investment solutions to institutional and private clients through financial expertise, long-term strategies, responsible investing, and operational excellence.

• Participate in all stages of the product lifecycle, from initial concept through deployment;
• Test backend services, analyze results, and identify issues;
• Develop and maintain test plans, test cases, and application documentation;
• Write API automated tests using Pytest or other relevant tools;
• Identify, document, and track bugs and issues using a bug tracking system;
• Collaborate with cross-functional teams to understand project requirements and clarify ambiguities;
• Perform regression testing to ensure product stability after changes;
• Collaborate with TechOps and other teams to implement quality management processes and improve testing.
• 3+ Years of QA experience, predominantly in backend testing;
• Strong Python and Pytest proficiency for writing and maintaining automated test scripts;
• Proficiency with Linux and related tools;
• Solid Bash scripting knowledge;
• Understanding of Docker and Kubernetes principles;
• Basic CI/CD knowledge;
• Ability to analyze backend service logs using Open Lens or similar tools;
• Experience with Kafka and Kibana or willingness to quickly learn them;
• Skills in testing RESTful and gRPC APIs;
• Basic SQL proficiency;
• Good understanding of client-server and/or microservice architecture;
• Ability to work in a team;
• Familiarity with Machine Learning basics;
• English at Intermediate+ level or higher.
• Fully remote, office, or hybrid work options are available;
• Opportunity to earn up to an additional 1,000 USD per month depending on expertise, included in the annual bonus, through participation in company activities;
• Professional, financial, and career growth opportunities;
• Mentoring and onboarding systems for each new employee;
• Access to a corporate training portal with an continuously updated knowledge base;
• Certification compensation, including AWS and PMP;
• Referral program;
• Private health insurance and sports activity compensation;