Lublin, Wrocław
Lublin, Wrocław

About the vacancy

Our client is one of the biggest online retailers worldwide. DataArt specialists help develop and support its services. We have helped the company to create web-portals and mobile apps, delivery control systems, staff management tools, data storage and much more.

Modern IT-systems have allowed the company to increase the amount of its customers to over half a million. Retail provides a yearly profit of around £1 billion. But our client is determined to earn even more by reselling the technological tools that have led them to their success.

Based on the new IT-infrastructure and the experience of its modifications, the company is working on developing a cross functional system that will be able to fit the interests of other companies that are interested in acquiring such systems. DataArt provides consultation and development of the software for the client in both areas of their activities: online sales and creation of the cross functional retail platform.

As a Data Platform Engineer, you will be part of a team that researches, designs and maintains an automated cloud computing service model (DBaaS) on clients Infrastructure platform. The candidate will be working with relational and NoSQL database technologies on both private and public cloud infrastructures, with a core focus on containerization and Kubernetes.

Responsibilities

  • Developing and supporting services that provide the deployment and management of relational and NoSQL database technologies
  • Providing tools for monitoring, managing, alerting, and improving customer database performance
  • Developing and implementing automated processes that ensure the uninterrupted updating and correction of database vulnerabilities
  • Publishing documentation that enables a smooth transition of database services from the build and development phase to production support
  • Providing consultations, training, and mentoring for the development team
  • Active participation in upgrading systems
  • Root cause analysis and troubleshooting
  • Support for production systems, prepared for regular on-call duty

Must have

  • Solid knowledge and skills in programming (Python, Go or similar)
  • Experience with databases (Postgres or Cassandra)
  • Familiarity with containers and container orchestration systems such as Docker / K8s
  • A desire to work with open source technologies
  • Comfortable to adapt to change and learn quickly in a fast-paced environment
  • Excellent communication skills (spoken and written)

Would be a plus

  • Experience in using monitoring and alerting tools (e.g. Prometheus, Grafana, PagerDuty
  • SNMP)
  • Basic knowledge of networking
  • Experience in/understanding of supporting a 24x7 operation
  • Experience of development using Scrum or other Agile methodologies

Work at DataArt is

People first

Our relationships with clients and colleagues are based on mutual respect, no matter what differences we may have.

  • Long-term partnership
  • Respect for individuality and freedom of expression
  • Flexible schedule, comfortable offices, and the ability to work from home
  • Market-driven compensation and health care
  • High quality internal administrative services

Expertise

Get the opportunity to unleash your potential in DataArt's ecosystem

  • Highly qualified team
  • Communities and knowledge sharing
  • English classes
  • Internal educational system

Flexibility

Freedom to explore and opportunities to get new experience and knowledge. Constant willingness to change

  • Work contract with DataArt, not project based employment
  • Flat structure
  • Minimum rules
  • Rules and policies change with context, while values stay the same
  • Easy movement among offices and opportunities for relocation

Trust

The ability to count on each other and the willingness to trust people lies at the heart of relationships in DataArt

  • Management via context, bottom-up decision making. We avoid micromanagement
  • Clear equal rules and policies
  • Fair management
  • No ranking vs others, no regular reassessments. Fair seniority assessment

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