Site Reliability Engineer, Online Marketplace (вакансія неактивна)

3+ years of experience with cloud computing and distributed systems, mainly with AWS
Experience in designing, scaling, and troubleshooting large-scale cloud architectures, ideally microservices-based or event-driven architectures
Experience with at least one of the following programming languages: Java, Python, Go, Rust, Scala, or any other functional or object-oriented language
Experience participating in the entire product value chain: from prototyping to coding, testing, integration, deployment, and support during production
Experience participating in the optimization and automation of the product, both at the functional and non-functional levels
Experience with visualization and dashboards
Experience applying a systematic approach to problem solving
Developed communication skills
Responsible and dedicated
Ability to work in a cross-functional team
Good spoken English

DataArt offers:
• Professional Development:
— Experienced colleagues who are ready to share knowledge;
— The ability to switch projects, technology stacks, try yourself in different roles;
— Over 150 courses for workplace-based training
— Study and practice of English: courses and communication with colleagues and clients from different countries;
— Support of speakers who make presentations at conferences and meetings of technology communities.
• The ability to focus on your work: a lack of bureaucracy and micromanagement, and convenient corporate services;
• Lack of dress code, friendly atmosphere, concern for the comfort of specialists;
• Flexible schedule and the ability to work remotely;
• The ability to work in any of our development centers.

Our client is a US-based marketplace. They developed a website and app that allows users to buy and sell wardrobe items or gadgets.

DataArt’s specialists will strengthen the client’s in-house team to develop and ensure access to new European markets. The work is organized according to the Spotify Agile Framework, i.e. all developers work in small (5-7 people) autonomous and self-sufficient teams.