Automation Infrastructure Engineer.

Description

Automation Infrastructure Engineer

Fetcherr experts in deep learning, algo-trading, e-commerce, and digitization, Fetcherr disrupts traditional systems with its cutting-edge AI technology. At its core is the Large Market Model (LMM), an adaptable AI engine that forecasts demand and market trends with precision, empowering real-time decision-making. Specializing initially in the airline industry, Fetcherr aims to revolutionize industries with dynamic AI-driven solutions.

We’re looking for an Automation Infrastructure Engineer to help us grow our automation team’s capabilities. The ideal candidate is a Python Automation Engineer with a solid background in building various automation infrastructures (both back-end and front-end). The candidate should be familiar with industry best practices, self-driven, motivated, independent, and sharp. Strong verbal and written communication skills are essential to document processes and share knowledge with team members. The ability to work effectively with QA, development, and operations teams to integrate and maintain automation tools and processes is crucial.

Requirements

Must Have:

• 3+ years of experience developing with Python.
• Experience in back-end automation development using APIs/DBs.
• Experience in front-end automation development using Playwright.
• Experience with CI/CD pipelines.
• Experience with Git.
• Experience working with cloud platforms, with a preference for GCP.
• Experience working with Docker and Kubernetes.
• Experience working with different operating systems, especially Linux.
• English – fluent, both written and spoken.

Nice to have:

• Knowledge of SQL and analytical databases (we use BigQuery and Clickhouse).
• Experience with pandas great-expectations or similar Python libraries.
• Experience with monitoring tools (e.g., Prometheus, Datadog) and logging systems to ensure the health and performance of automation infrastructure.