Database Administrator at Uberall
távmunka, , Hungary -
Full Time


Start Date

Immediate

Expiry Date

06 May, 25

Salary

0.0

Posted On

07 Feb, 25

Experience

5 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

HELP US BRING PEOPLE AND BUSINESSES TOGETHER

Our SaaS platform enables multi-location brands and businesses to boost their online presence. From big to small, from Adidas to ZenPark, our client base contains some of your favourite brands as well, we bet.

THE PAST, PRESENT & FUTURE

The Past: Uberall was founded in 2013 by David Federhen and Florian Hübner, two longtime friends with a vision to improve customer experience across the online and offline worlds. They created a platform that connected companies with local customers in the digital-first moment.
The Present: We’re on a mission to empower businesses to thrive locally, and believe every business deserves success, regardless of size or location. Simply put, our location marketing platform exists to help our customers get found online and connect with customers through search, discovery, engagement, and conversion.
The Future: We’re a growing company with a bright future, and our journey to become the global leader in location marketing is well underway. We have a passionate and diverse team, a comprehensive, intuitive platform, and a clear vision for the future. We’re looking for talented and passionate people (like you \uD83D\uDC4B) to join us on our journey.

Responsibilities
  • Manage and optimize AWS databases (RDS, OpenSearch, DynamoDB)
  • Configure, upgrade, migrate, and ensure database high availability
  • Optimize queries and troubleshoot MySQL/Postgres performance issues
  • Design CI/CD pipelines for SQL deployments and automate with Terraform/Ansible
  • Design and plan backup schema
  • Ensure disaster recovery, data security, and compliance
  • Collaborate with teams, take ownership of projects, and follow up proactively
  • Apply data modeling best practices and support scalable database solutions
  • Optimize database efficiency and costs.
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