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Synergetica is a software R&D experts community working together since the year of 2000. Our community grows delivering the next generation software to our customers worldwide. We proud with the cutting edge software projects built by our teams which serve millions of consumers. Synergetica offers excellent work conditions, e.g.
28 января 2020

DevOps Engineer for Data Science Platform

Киев

Необходимые навыки

• Minimum of 2 years of work experience in a software development environment, in a DevOps, Build and Release Engineering, or Site Reliability Engineering role;
• Knowledge of CI & CD practices and supporting tools;
• Experience with automating deployment, scaling and management of Container applications — Docker/Kubernetes;
• 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.

Предлагаем

• 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.

Обязанности

• 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.

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