Software/DevOps Engineer in Data Science UA

Bachelor's degree in computer science, software engineering, or a related field. 5+ years of professional work experience as a software engineer. Proficiency in developing, maintaining, and debugging problems in Python. Strong understanding of software engineering principles and best practices, as well as software architecture. Experience developing different types of software, including command line tools and web services (such as with Flask). Curiosity, creativity, and a passion for building innovative software solutions. Good knowledge of engineering best practices and testing (unit test, integration test). The desire to take a high level of ownership of the things you work on. Ability to learn new things quickly, maintain a high bar for quality, and be pragmatic. Must be able to communicate with U.S based teams. Ability to work 11 am - 8 pm EEST. Would be a plus: Experience with cloud infrastructure (especially AWS). Understanding of DevOps and SRE philosophy. Competency in multiple programming languages - primarily use Python, but others such as Ruby, Go, and JavaScript are helpful. Understanding of infrastructure and web application security. Experience with microservices and Docker container orchestration. Experience with database technologies (SQL and NoSQL). An opportunity to be at the forefront of advertising technology, impacting major marketing decisions. A collaborative, innovative environment where your contributions make a difference. The chance to work with a passionate team of data scientists, engineers, product managers, and designers. A culture that values learning, growth, and the pursuit of excellence. ,[Build custom tools and automation to help company maintain, monitor, and work with the infrastructure and services., Collaborate with engineers to improve developer experience and processes around building, deploying, and testing the software., Manage cloud infrastructure (e.g., AWS) to optimize resource allocation, cost efficiency, and system performance., Implement security best practices and compliance measures for infrastructure and applications., Ensure data protection and compliance with relevant regulations., Set up monitoring and alerting systems to proactively detect and respond to system issues., Continuously optimize infrastructure and resource usage for performance and cost-effectiveness., Stay informed about emerging technologies and best practices in DevOps, and make recommendations for improving the tech stack and processes.] Requirements: Python, Flask, Software Engineering, Docker, SQL, NoSQL