Senior QA Automation Engineer - Remote Python API Testing

Instinctools

Georgia

Hybrid

USD 120,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Flexible hours
Remote work
Career development
Meetups & conferences

Job summary

instinctools is seeking a Senior QA Automation Engineer for a fully remote role. You will focus on API tests and model-service integration testing, treating ML models as a black box.

Strong Python/Pytest, Linux, and Docker/Kubernetes skills are required, with experience in CI/CD and backend testing. You will work with a data science-focused team to automate QA across REST and gRPC services, leveraging Kafka/Kibana and SQL.

Qualifications

  • 5+ years of total engineering experience, with 3+ years in automation, predominantly backend testing.
  • Strong Python (Pytest) skills for writing test scripts, and solid Linux/Bash experience.
  • Understanding of Docker/Kubernetes and basic CI/CD, with the ability to analyze backend service logs.
  • Skilled in testing RESTful and gRPC APIs, with basic SQL proficiency.
  • Experience with Kafka and Kibana, or a willingness to quickly learn them.
  • Good understanding of client-server and/or microservice architecture.
  • Familiarity with the basics of Machine Learning, and comfortable treating ML models as a black box for testing purposes.
  • Active use of AI assistants in daily work.
  • Strong team collaboration skills.

Responsibilities

  • Participate in all stages of the product lifecycle, from concept through deployment, testing backend services and analyzing results to identify issues.
  • Write API automated tests (Pytest or similar) and maintain test plans, test cases, and documentation.
  • Identify, document, and track bugs through a bug tracking system, and perform regression testing to ensure stability after changes.
  • Collaborate with cross-functional teams and TechOps to clarify requirements and improve quality management processes.

Skills

Python
Pytest
Linux
Bash
Docker/Kubernetes
CI/CD
REST APIs
gRPC
SQL
Kafka
Kibana
ML basics
AI assistants
Team collaboration

Tools

Open Lens

Job description

*instinctools is a software development company that provides custom software solutions for businesses of all sizes. Our team works closely with clients to understand their specific needs and provide personalized solutions that meet their business requirements.

*instinctools is looking for a Senior QA Automation Engineer for one of our clients.

Locations: Poland (and other European countries), Kazakhstan, Georgia, Armenia

Client: A global mobility and urban services platform that offers ride-hailing, intercity travel, delivery, and task assistance, operating in over 700 cities across 47 countries, and is one of the most downloaded mobility apps in the world.

The project: You’ll be working with a growing Data Science team that focuses not just on training models, but on ensuring those models deliver real, measurable value, improving the actual user experience. The team works with a wide variety of data, from numerical and textual to visual, and cares as much about how well something works as whether it works at all.

The team: This is a fully automated QA setup with no manual testers.You will work alongside data scientists and a separate team that handles deployment. We are adding an AQA engineer to focus specifically on this area.

Ideally, you’re a strong Python/development background person who moved into testing. You’ll cover API tests and model-service integration testing, treating ML models as a black box (no deep math or ML theory required). You also have experience with AI/ML/DS-powered services testing and LLM-based infrastructure set-up or harness.

Project Duration:initial 6 months, with the possibility of extension.

What you will get hands-on with:

  • Testing of AI/ML/DS-powered services, including LLM-based setups, with a focus on how well models work and not only whether they work
  • A wide variety of data: numerical, textual and visual
  • A Python-first toolkit: Pytest, REST and gRPC APIs, SQL
  • A backend environment with Linux, Bash, Docker and Kubernetes, CI/CD, and analysis of backend service logs (Open Lens or similar tools)
  • Kafka and Kibana
  • AI assistants in your daily work, used pragmatically, where they bring real value

Responsibilities and tasks:

  • Participate in all stages of the product lifecycle, from concept through deployment, testing backend services and analyzing results to identify issues
  • Write API automated tests (Pytest or similar) and maintain test plans, test cases, and documentation
  • Identify, document, and track bugs through a bug tracking system, and perform regression testing to ensure stability after changes
  • Collaborate with cross-functional teams and TechOps to clarify requirements and improve quality management processes
Our expectations of the ideal candidate:
  • 5+ years of total engineering experience, with 3+ years in automation, predominantly backend testing
  • Strong Python (Pytest) skills for writing test scripts, and solid Linux/Bash experience
  • Understanding of Docker/Kubernetes and basic CI/CD, with the ability to analyze backend service logs (e.g., Open Lens or similar tools)
  • Skilled in testing RESTful and gRPC APIs, with basic SQL proficiency
  • Experience with Kafka and Kibana, or a willingness to quickly learn them
  • Good understanding of client-server and/or microservice architecture
  • Hands-on experience testing AI/ML/DS-powered services (for example, model-service integration or LLM-based setups). You treat ML models as a black box, so familiarity with the basics of machine learning is enough and no deep math or theory is needed
  • Active use of AI assistants in daily work
  • Strong team collaboration skills
We offer:
  • Fully remote work in the CET time zone
  • Partial compensation for health insurance, sports activities and language courses
  • Paid vacation days can be included in your B2B contract
  • A strong engineering culture: attention to code quality, solid engineering practices and safe, incremental changes
  • Autonomy: freedom to choose how to solve tasks and to propose and explore alternative technical solutions. In AI/ML, if you can justify a model or technology, the team is open to experiments
  • A calm and friendly atmosphere: lightweight processes and planning that avoids constant overload. Urgent tasks are solved quickly, without permanent rush
  • Space to research and to dive into the wider context of the project
  • Opportunities to speak at company meetups and conferences and to grow professional communities

Join us and be part of a team that is changing the world through technology!

Important Notice Regarding Your Personal Data Security

At *instinctools, we take the security of your personal data very seriously. Please be informed that all official communication, offers, and correspondence from *instinctools are conducted only through our verified company resources, including:
Official Email Domain: @instinctools.com
Company Website: https://www.instinctools.com
Important Reminder:
*instinctools will NEVER ask for sensitive personal or financial information, including:
– Bank account details
– Credit/debit card numbers
– Passwords or PINs
If you receive any suspicious requests claiming to be from *instinctools via unofficial channels (e.g., personal emails, social media DMs, or phone calls), please:
– Do not respond or share any information.
– Report it immediately to our official contacts.
Your trust and security are our top priorities. For any questions, always verify through our official channels.

Thank you for your attention and cooperation.

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Developers

*instinctools is a developer of IT solutions for Western Europe. We have over 350 projects in our portfolio. The spheres are different – from healthcare and medicine, training and education, to digital advertising, economics and IT. For the software implementation and maintenance across such a number of projects, competent developers are important.

We use a modern technology stack, the key of which are:

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