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11 сентября 2020

Senior DevOps Engineer for Data Science Platform (вакансия неактивна)


Необходимые навыки

• 3+ years of work experience as a DevOps, Build and Release Engineer, or Site Reliability Engineer;
• Experience with Kubernetes 2+ years;
• Knowledge of CI & CD practices and supporting tools;
• Experience with automating deployment, scaling and management of Container applications;
• Experience with Linux, Open Source tooling and cloud platforms such as Amazon AWS, Microsoft Azure and Google cloud platform;
• Excellent troubleshooting and problem-solving abilities;
• Type S(startup) personality: smart, ethical, friendly, cross-functional, hardworking and proactive.

Будет плюсом

• Knowledge of at least one development language, such as Python or Ruby;
• B.S. in Computer Science, Electrical Engineering, Computer Engineering or equivalent.


• Competitive compensation depending on experience and skills;
• Opportunities for self-realization, professional and career growth;
• Office near the Teatral’na metro station (Bohdana Khmelnytskogo Str.);
• Compensation package (paid vacation, sick leaves), flexible working hours;
• English classes, yoga, tech training and conferences participation.


• Continually improve DevOps tools, processes and procedures;
• Build, maintain, and scale infrastructure for Production and Staging environments;
• Deploy, manage, and support our environments, including troubleshooting of incidents;
• Design automation frameworks, tools, and systems through continuous integration and continuous deployment that deliver the company’s software into Staging and Productions environments in a very fast-paced environment;
• Work closely with Development and QA teams to help ensure end-to-end quality;
• Work with third-party vendors to resolve infrastructure issues;
• Learn new technologies, architect, and implement new solutions to automate infrastructure;
• Bring innovative ideas and solve complex technology problems.

О проекте

The project is a full-stack data science platform that helps enterprises manage and scale AI. Its collaborative end-to-end solution enables companies to accelerate innovation and build high impact machine learning models. From Fortune 500 companies to startups, this solution helps data scientists solve complex problems, by building intelligent machines. The platform is used across industries by leading companies in finance, gaming, BI, automotive, manufacturing, e-commerce and more.

In this exciting role you’ll be working with the latest technologies and will be responsible for deploying data science platform to leading companies both cloud and on-premise. You will deploy updates, interact with customers and manage CI/CD.