Automation Engineer

Overview

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Extensive experience with Python, Airflow or workflow orchestration tool. Experience with Selenium. Strong understanding of containerization technologies such as Docker and Kubernetes. Proficient in caching mechanisms (e.g., Redis, Memcache, Hazelcast). Experience with microservices architecture and RESTful API design. Experience of SQL (Postgres, MySQL, MS SQL) and NoSQL databases. Familiarity with development and deployment on cloud platforms like AWS, Azure, or Google Cloud. Hands-on experience with Apache Kafka or similar messaging systems. Experience with CI / CD pipelines and DevOps practices. Experience using JIRA and Git for software development. Experience with leveraging AI Coding assistant tools (GitHub Copilot, Cline, Aider, Continue, Cursor). Understanding of ETL Processes. Basic understanding of Large Language Models (OpenAI, Claude etc.), MCP (Model Context Protocol), AI agents Framework (LangChain, LangGraph).

Seniority level

• Mid-Senior level

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